[
{
"title": "Microstructure & physicochemical properties dataset of NaCl-based salt mixtures for concentrating solar power",
"doi": "10.1038/s41597-025-06437-z",
"url": "https://doi.org/10.1038/s41597-025-06437-z",
"journal": "Scientific Data",
"year": 2026,
"authors": "Feng, Y.; Wu, Y.; Wang, W.",
"abstract": "Abstract\n Concentrating solar power is a pivotal technology in global transition toward renewable energy, providing a viable pathway for dispatchable and base-load electricity generation. An important component of the concentrating solar power system is molten salts, particularly NaCl-based mixtures, which serve as both efficient heat transfer fluids and high-capacity thermal energy storage media. The influence mechanisms of micro-ionic interactions and microstructure on physico",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "SWFITEM: Solar Wind Fitting for Investigations of Thermodynamics and Energetics at Mars – A MAVEN dataset",
"doi": "10.1038/s41597-025-06530-3",
"url": "https://doi.org/10.1038/s41597-025-06530-3",
"journal": "Scientific Data",
"year": 2026,
"authors": "Ramstad, R.; Halekas, J.; Andersson, L.; Brain, D.; Espley, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "MORICHI: a Dataset to Study Urban Overheating during Extreme Heat in a Hot-Summer Humid Continental Climate",
"doi": "10.1038/s41597-026-06763-w",
"url": "https://doi.org/10.1038/s41597-026-06763-w",
"journal": "Scientific Data",
"year": 2026,
"authors": "Martin, M.; Garcia-Sanchez, C.; Stoter, J.; Berges, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An electronic product carbon footprint dataset for question answering",
"doi": "10.1038/s41597-026-06544-5",
"url": "https://doi.org/10.1038/s41597-026-06544-5",
"journal": "Scientific Data",
"year": 2026,
"authors": "Zhao, K.; Koyatan Chathoth, A.; Balaji, B.; Lee, S.",
"abstract": "Abstract\n The embodied carbon of computing systems constitutes a significant portion of their greenhouse gas (GHG) emissions. To support environmental initiatives and meet evolving standards, many companies now disclose product carbon footprints in sustainability reports, often with detailed breakdowns. Yet these reports appear in diverse and unstructured formats—text, tables, and graphs embedded in PDFs—creating major challenges for extracting and analyzing component-specific e",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint dataset of concrete based on field surveys at commercial mixing plants in Shandong, China",
"doi": "10.1038/s41597-026-06789-0",
"url": "https://doi.org/10.1038/s41597-026-06789-0",
"journal": "Scientific Data",
"year": 2026,
"authors": "Niu, D.; Zhou, J.; Guo, B.",
"abstract": "Abstract\n \n Carbon dioxide (CO\n 2\n ) emissions from concrete have grown rapidly, ranking second after the power sector. Current emission factors often overlook regional heterogeneity. To bridge this knowledge gap, this study takes Shandong Province, a typical region in China, as a case study. Considering the difference in geography, history, culture, and economic development, Shandong is divided into five subregions: Easte",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A near-global dataset of dissolved organic carbon concentrations and yields in forested headwater streams",
"doi": "10.1038/s41597-025-06522-3",
"url": "https://doi.org/10.1038/s41597-025-06522-3",
"journal": "Scientific Data",
"year": 2026,
"authors": "Liu, D.; Chang, R.; Tang, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A Dataset of Vertical Carbon Fluxes from a Georgia Tidal Salt Marsh from 2014 to 2024",
"doi": "10.1038/s41597-026-06571-2",
"url": "https://doi.org/10.1038/s41597-026-06571-2",
"journal": "Scientific Data",
"year": 2026,
"authors": "Hawman, P.; Mishra, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon and nitrogen (δ13C, δ15N) isotope ratios of zooplankton in Lake Maggiore (Italy): a 13-year dataset",
"doi": "10.1038/s41597-026-06928-7",
"url": "https://doi.org/10.1038/s41597-026-06928-7",
"journal": "Scientific Data",
"year": 2026,
"authors": "Piscia, R.; Caroni, R.; Bettinetti, R.; Manca, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A project-level dataset of Chinese Belt and Road energy investments 2013–2023",
"doi": "10.1038/s41597-025-06487-3",
"url": "https://doi.org/10.1038/s41597-025-06487-3",
"journal": "Scientific Data",
"year": 2026,
"authors": "Yin, G.; Calzadilla, A.; Bleischwitz, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global 0.05° Grid-Based Dataset of Keyhole Imagery with Spatio-Temporal Indicators (1960–1984)",
"doi": "10.1038/s41597-026-06866-4",
"url": "https://doi.org/10.1038/s41597-026-06866-4",
"journal": "Scientific Data",
"year": 2026,
"authors": "Wang, T.; Zhang, X.; Shan, M.; Deng, M.; Wang, J.",
"abstract": "Abstract\n The American satellite reconnaissance program (Keyhole imagery) is serving as a significant data source for geoscience research because of its high-resolution and early temporal coverage, while lack of spatial and temporal description of its uneven distribution could hinder researchers from selecting/accessing appropriate the Keyhole images. Here we introduce a global grid–based dataset that organizes declassified U.S. Keyhole imagery (1960–1984) for direct reuse, buil",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "High-resolution Dataset of Electric Vehicle Charging Responses Under Varied Power Quality Disturbances",
"doi": "10.1038/s41597-026-06768-5",
"url": "https://doi.org/10.1038/s41597-026-06768-5",
"journal": "Scientific Data",
"year": 2026,
"authors": "Li, H.; Zhang, Y.; Yang, S.; Liu, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A dynamic meshing transmission dataset for manufacturing quality inspection of electric vehicle reducer gears",
"doi": "10.1038/s41597-026-06885-1",
"url": "https://doi.org/10.1038/s41597-026-06885-1",
"journal": "Scientific Data",
"year": 2026,
"authors": "Guo, D.; Yang, J.; Li, H.; Huang, Y.; Long, X.",
"abstract": "Abstract\n The NVH (Noise, Vibration, Harshness) performance of electric vehicle reducer gears directly affects the NVH level of the whole vehicle. However, the existing single gear quality detection methods based on tooth surface waviness are faced with two major challenges, which are unable to detect quickly and cannot fully characterize the real performance. This work introduces the first real industrial dataset for manufacturing quality inspection of electric vehicle reducer ",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Bounding the costs of electric vehicle managed charging—supply curves for scenarios from 2025 to 2050",
"doi": "10.1038/s41597-026-07008-6",
"url": "https://doi.org/10.1038/s41597-026-07008-6",
"journal": "Scientific Data",
"year": 2026,
"authors": "Matsuda-Dunn, R.; Hale, E.; Estreich, E.; Lavin, L.; Konar-Steenberg, G.",
"abstract": "Abstract\n As electric vehicle (EV) adoption increases, the resulting EV battery charging will increase demand on the electric power grid. Through EV managed charging (EVMC) programs, charging can be shifted in time to support electric grid reliability and reduce electricity costs. EVMC can offer an alternative to additional supply-side generation, but the costs of EVMC implementation must be understood to evaluate the cost-benefits of EVMC. This paper presents bottom-up, forward",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multiclass Dataset for Intelligent Detection of Wind Turbine Blade Defects Using Drone Imagery",
"doi": "10.1038/s41597-026-06762-x",
"url": "https://doi.org/10.1038/s41597-026-06762-x",
"journal": "Scientific Data",
"year": 2026,
"authors": "Ji, L.; Cheng, J.; Wu, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dataset about Warming Effects on Carbon Cycling and Greenhouse Gas Fluxes in Permafrost Ecosystems",
"doi": "10.1038/s41597-026-06600-0",
"url": "https://doi.org/10.1038/s41597-026-06600-0",
"journal": "Scientific Data",
"year": 2026,
"authors": "Bao, T.; Xu, X.; Jia, G.; Zhu, X.; Riley, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Illumination-assisted annealing enables selenium solar cells with open-circuit voltage over 1 V and efficiency exceeding 10%",
"doi": "10.1038/s41560-025-01939-x",
"url": "https://doi.org/10.1038/s41560-025-01939-x",
"journal": "Nature Energy",
"year": 2026,
"authors": "Wen, X.; Li, Z.; Lu, W.; Li, J.; Xie, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Energy packed tightly",
"doi": "10.1038/s41560-026-01970-6",
"url": "https://doi.org/10.1038/s41560-026-01970-6",
"journal": "Nature Energy",
"year": 2026,
"authors": "Alshareef, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Marking ten years of Nature Energy",
"doi": "10.1038/s41560-026-01971-5",
"url": "https://doi.org/10.1038/s41560-026-01971-5",
"journal": "Nature Energy",
"year": 2026,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Early market opportunity for long-duration energy storage",
"doi": "10.1038/s41560-026-01986-y",
"url": "https://doi.org/10.1038/s41560-026-01986-y",
"journal": "Nature Energy",
"year": 2026,
"authors": "Marqusee, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Suppressing intermediate crystallization for flexible tandem solar cells",
"doi": "10.1038/s41560-026-01979-x",
"url": "https://doi.org/10.1038/s41560-026-01979-x",
"journal": "Nature Energy",
"year": 2026,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Co-crystal engineering unlocks high-stability perovskite solar modules",
"doi": "10.1038/s41560-025-01904-8",
"url": "https://doi.org/10.1038/s41560-025-01904-8",
"journal": "Nature Energy",
"year": 2026,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Regulation of hydrothermal kinetics unlocks record efficiency in Sb2(S,Se)3 solar cells",
"doi": "10.1038/s41560-025-01956-w",
"url": "https://doi.org/10.1038/s41560-025-01956-w",
"journal": "Nature Energy",
"year": 2026,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Mapping Europe’s rooftop photovoltaic potential with a building-level database",
"doi": "10.1038/s41560-025-01947-x",
"url": "https://doi.org/10.1038/s41560-025-01947-x",
"journal": "Nature Energy",
"year": 2026,
"authors": "Kakoulaki, G.; Kenny, R.; Taylor, N.; Gracia-Amillo, A.; Szabo, S.",
"abstract": "Abstract\n \n Individual building-level approaches are needed to understand the full potential of rooftop photovoltaics (PV) at national and regional scale. Here we use the European Digital Building Stock Model R2025, an open-access building-level database, to assess rooftop solar potential for each of the 271 million buildings in the European Union. The results show that potential capacity could reach 2.3 TWp (1,822 GWp residential, 519 GWp non-residential), wi",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Author Correction: Mapping Europe’s rooftop photovoltaic potential with a building-level database",
"doi": "10.1038/s41560-026-01991-1",
"url": "https://doi.org/10.1038/s41560-026-01991-1",
"journal": "Nature Energy",
"year": 2026,
"authors": "Kakoulaki, G.; Kenny, R.; Taylor, N.; Gracia-Amillo, A.; Szabo, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Urban energy transformation through integrated systems",
"doi": "10.1038/s41560-025-01922-6",
"url": "https://doi.org/10.1038/s41560-025-01922-6",
"journal": "Nature Energy",
"year": 2026,
"authors": "Yan, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Negative pricing increases electricity use but challenges grid stability",
"doi": "10.1038/s41560-025-01928-0",
"url": "https://doi.org/10.1038/s41560-025-01928-0",
"journal": "Nature Energy",
"year": 2026,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The integration imperative in electricity grid transition",
"doi": "10.1038/s41560-025-01915-5",
"url": "https://doi.org/10.1038/s41560-025-01915-5",
"journal": "Nature Energy",
"year": 2026,
"authors": "O’Malley, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Advancing wind energy through better understanding of the atmosphere",
"doi": "10.1038/s41560-025-01935-1",
"url": "https://doi.org/10.1038/s41560-025-01935-1",
"journal": "Nature Energy",
"year": 2026,
"authors": "Lundquist, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Heterogeneity in public attitudes and preferences for the deployment of aquifer thermal energy storage",
"doi": "10.1038/s41560-026-01977-z",
"url": "https://doi.org/10.1038/s41560-026-01977-z",
"journal": "Nature Energy",
"year": 2026,
"authors": "Liu, T.; Hanna, R.; Kountouris, Y.",
"abstract": "Abstract\n \n Aquifer thermal energy storage (ATES) can contribute to heating and cooling decarbonization by utilizing the thermal capacity of natural aquifers. Securing acceptance and support for deploying ATES at scale requires acknowledging public perceptions and designing systems compatible with public preferences. Here we characterize attitudinal stances and preferences for the deployment of ATES in public buildings in the UK. Using data from a social surve",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Heterogeneity in public attitudes and preferences for the deployment of aquifer thermal energy storage",
"doi": "10.1038/s41560-026-02034-5",
"url": "https://doi.org/10.1038/s41560-026-02034-5",
"journal": "Nature Energy",
"year": 2026,
"authors": "Liu, T.; Hanna, R.; Kountouris, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Sorption-driven dissolution refrigeration cycle with thermal storage",
"doi": "10.1038/s41560-026-01992-0",
"url": "https://doi.org/10.1038/s41560-026-01992-0",
"journal": "Nature Energy",
"year": 2026,
"authors": "Wu, S.; Tang, K.; Zhang, X.; Sang, H.; Du, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Collaboration can secure carbon capture’s future",
"doi": "10.1038/s41560-025-01916-4",
"url": "https://doi.org/10.1038/s41560-025-01916-4",
"journal": "Nature Energy",
"year": 2026,
"authors": "Wilcox, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Global gridded dataset of heating and cooling degree days under climate change scenarios",
"doi": "10.1038/s41893-025-01754-y",
"url": "https://doi.org/10.1038/s41893-025-01754-y",
"journal": "Nature Sustainability",
"year": 2026,
"authors": "Lizana, J.; Miranda, N.; Sparrow, S.; Wallom, D.; Khosla, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Technology flexibility and sobriety to address shortage of energy-transition metals",
"doi": "10.1038/s41893-025-01762-y",
"url": "https://doi.org/10.1038/s41893-025-01762-y",
"journal": "Nature Sustainability",
"year": 2026,
"authors": "Bieuville, P.; Majeau-Bettez, G.; de Bortoli, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy-efficient indirect (bi)carbonate electroreduction in a porous solid electrolyte reactor",
"doi": "10.1038/s41893-025-01755-x",
"url": "https://doi.org/10.1038/s41893-025-01755-x",
"journal": "Nature Sustainability",
"year": 2026,
"authors": "Okatenko, V.; Elgazzar, A.; Loiudice, A.; Buonsanti, R.; Wang, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Blue carbon ecosystems and coral reefs as coupled nature-based climate solutions",
"doi": "10.1038/s41893-026-01768-0",
"url": "https://doi.org/10.1038/s41893-026-01768-0",
"journal": "Nature Sustainability",
"year": 2026,
"authors": "Fakhraee, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The electric vehicle transition and vanishing fuel tax revenues",
"doi": "10.1038/s41893-025-01721-7",
"url": "https://doi.org/10.1038/s41893-025-01721-7",
"journal": "Nature Sustainability",
"year": 2026,
"authors": "Noll, B.; Schmidt, T.; Egli, F.",
"abstract": "Abstract\n As electric vehicle adoption accelerates globally, fuel tax revenues decline, exposing government budgets without a proposed replacement tax on electric vehicles. We estimate fuel tax transition exposure across 168 countries, demonstrating that relative exposure, in percentage of total government revenues, varies substantially by income level. Our analysis finds that global public revenues from fuel taxes totalled approximately US$900 billion in 2023. Crucially, we sho",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "An open decoupled cell design achieving electricity generation and amplification through waste-to-energy conversion",
"doi": "10.1038/s41467-026-68550-w",
"url": "https://doi.org/10.1038/s41467-026-68550-w",
"journal": "Nature Communications",
"year": 2026,
"authors": "Zheng, Z.; Zheng, F.; Huang, B.; Xu, J.; Xiao, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Toward traceable global systems for end-of-life photovoltaic waste",
"doi": "10.1038/s41467-026-69171-z",
"url": "https://doi.org/10.1038/s41467-026-69171-z",
"journal": "Nature Communications",
"year": 2026,
"authors": "Huang, B.; Long, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Millennial land carbon emissions in China offset by carbon sinks of the past four decades",
"doi": "10.1038/s41467-026-70049-3",
"url": "https://doi.org/10.1038/s41467-026-70049-3",
"journal": "Nature Communications",
"year": 2026,
"authors": "Chen, W.; Ciais, P.; Yu, K.; Viovy, N.; Li, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon sequestration for geological negative emissions of the shale gas value chain in China",
"doi": "10.1038/s41467-026-68829-y",
"url": "https://doi.org/10.1038/s41467-026-68829-y",
"journal": "Nature Communications",
"year": 2026,
"authors": "Hong, P.; Guo, M.; Liang, S.; Shi, W.; Li, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Probabilistic day-ahead forecasting of system-level renewable energy and electricity demand",
"doi": "10.1038/s41467-026-69015-w",
"url": "https://doi.org/10.1038/s41467-026-69015-w",
"journal": "Nature Communications",
"year": 2026,
"authors": "Terrén-Serrano, G.; Deshmukh, R.; Martínez-Ramón, M.",
"abstract": "Abstract\n Increasing shares of wind and solar generation, together with rising electricity demand, introduce growing uncertainty into power system operations. Accurate day-ahead forecasts of electricity demand and renewable generation are essential for system operators to coordinate electricity markets and maintain reliability at low cost. Here, we show that forecasting based on joint probability distributions of demand and renewable supply can substantially improve system-level",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Balancing land use for conservation, agriculture, and renewable energy",
"doi": "10.1038/s41467-026-69952-6",
"url": "https://doi.org/10.1038/s41467-026-69952-6",
"journal": "Nature Communications",
"year": 2026,
"authors": "Brock, C.; Roehrdanz, P.; Beringer, T.; Chaplin-Kramer, R.; Enquist, B.",
"abstract": "Abstract\n \n Growing demand for food coupled with climate commitments to reduce emissions will result in more land development for agriculture and renewable energy. Simultaneously, conserving land for biodiversity and nature’s contributions to people (NCP) is imperative for achieving international climate, sustainable development, and biodiversity goals. Meeting these interconnected objectives requires efficient land allocation across sectors. Here, we present ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Self-driven recycling of spent Li-ion battery materials with electricity generation",
"doi": "10.1038/s41467-026-69868-1",
"url": "https://doi.org/10.1038/s41467-026-69868-1",
"journal": "Nature Communications",
"year": 2026,
"authors": "Huang, S.; Huang, S.; Li, M.; Zhang, H.; Wang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Aligning EU energy security and climate mitigation through targeted transition strategies",
"doi": "10.1038/s41467-025-67595-7",
"url": "https://doi.org/10.1038/s41467-025-67595-7",
"journal": "Nature Communications",
"year": 2026,
"authors": "Lal, A.; Tavoni, M.; Preuss, N.; You, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate",
"doi": "10.1038/s41467-026-69783-5",
"url": "https://doi.org/10.1038/s41467-026-69783-5",
"journal": "Nature Communications",
"year": 2026,
"authors": "He, C.; Clement, A.; Cane, M.; Gonzalez, A.; Kwon, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Behavioral uncertainty in EV charging drives heterogeneous grid load variability under climate goals",
"doi": "10.1038/s41467-025-66796-4",
"url": "https://doi.org/10.1038/s41467-025-66796-4",
"journal": "Nature Communications",
"year": 2026,
"authors": "Zhang, B.; Xin, Q.; Chen, S.; Wang, Z.; Lu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Reconstructing fine-scale 3D wind fields with terrain-informed machine learning",
"doi": "10.1038/s41467-026-70562-5",
"url": "https://doi.org/10.1038/s41467-026-70562-5",
"journal": "Nature Communications",
"year": 2026,
"authors": "Lin, C.; Tie, R.; Yi, S.; Liu, D.; Zhong, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global crop-specific energy demand for irrigation",
"doi": "10.1038/s41467-026-68902-6",
"url": "https://doi.org/10.1038/s41467-026-68902-6",
"journal": "Nature Communications",
"year": 2026,
"authors": "Chiarelli, D.; D’Odorico, P.; Fiori, A.; Nanesha, H.; Unnikrisnan, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Weakening mountain vegetation aspect asymmetry due to altered energy conditions",
"doi": "10.1038/s41558-025-02542-4",
"url": "https://doi.org/10.1038/s41558-025-02542-4",
"journal": "Nature Climate Change",
"year": 2026,
"authors": "Tian, Q.; Tian, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Design impacts building emissions",
"doi": "10.1038/s41558-026-02591-3",
"url": "https://doi.org/10.1038/s41558-026-02591-3",
"journal": "Nature Climate Change",
"year": 2026,
"authors": "Cui, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Growing cropland emissions",
"doi": "10.1038/s41558-026-02571-7",
"url": "https://doi.org/10.1038/s41558-026-02571-7",
"journal": "Nature Climate Change",
"year": 2026,
"authors": "Verchot, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Charting net-zero pathways for ASEAN's energy sector",
"doi": "10.1093/pnasnexus/pgaf389",
"url": "https://doi.org/10.1093/pnasnexus/pgaf389",
"journal": "npj Clean Energy",
"year": 2026,
"authors": "Zhong, S.; Su, B.; Papageorgiou, D.; Yeung, F.; Ng, T.",
"abstract": "Abstract\n The Association of Southeast Asian Nations (ASEAN) is at a turning point to drive an energy transition toward a low-carbon future. Investigating ASEAN's decarbonization strategies is timely. We present a capacity expansion model with hourly resolution for ASEAN to meet net-zero emissions by 2050, integrating electricity generation and hydrogen production. The results show two “bookend” pathways. ASEAN can decarbonize its power sector through an accelerated expansion in",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "From local production to global consumption: Assessing the carbon footprints of Chinese cities in global value chains",
"doi": "10.1093/pnasnexus/pgag050",
"url": "https://doi.org/10.1093/pnasnexus/pgag050",
"journal": "npj Clean Energy",
"year": 2026,
"authors": "Wang, S.; Liang, J.; Shan, Y.; Fang, C.; Bai, X.",
"abstract": "Abstract\n As cities take on increasingly specialized roles in global value chains (GVCs), the spatial disconnect between where emissions occur and where responsibility lies continues to widen. However, city-level carbon flows across GVCs remain largely underexamined, hindering the design of effective climate policies. Here, we develop a GVC-oriented carbon accounting framework by nesting a multiregional input–output (MRIO) model of 313 Chinese cities within a global MRIO system.",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Urban Carbon Footprint",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Underground data centers as urban energy infrastructure",
"doi": "10.1038/s44284-026-00406-2",
"url": "https://doi.org/10.1038/s44284-026-00406-2",
"journal": "Nature Cities",
"year": 2026,
"authors": "Zhang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increasing nationwide disparities in road freight emissions across cities",
"doi": "10.1038/s44284-025-00368-x",
"url": "https://doi.org/10.1038/s44284-025-00368-x",
"journal": "Nature Cities",
"year": 2026,
"authors": "Yu, C.; Yuan, Q.; Goodchild, A.; Dong, W.; Fried, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Empirical evidence of air pollution reduction from electric vehicle usage across Chinese cities",
"doi": "10.1038/s44284-026-00395-2",
"url": "https://doi.org/10.1038/s44284-026-00395-2",
"journal": "Nature Cities",
"year": 2026,
"authors": "Ma, Y.; Qiu, M.; Wang, Y.; Pan, J.; Guo, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Hourglass-shaped GaAs0.99Bi0.01 nanowire solar cells with CuI-PEDOT:PSS double hole transport layers for enhanced photovoltaic performance",
"doi": "10.1038/s41598-025-34717-6",
"url": "https://doi.org/10.1038/s41598-025-34717-6",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Rautela, M.; Sagar, S.; Kumar, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A sport inspired kabaddi game optimizer for accurate parameter estimation of solar photovoltaic models",
"doi": "10.1038/s41598-025-32437-5",
"url": "https://doi.org/10.1038/s41598-025-32437-5",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Ayyarao, T.; Kishore, G.; Dev, A.; Siddaraj, U.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "AI-enabled energy baselines for verified building decarbonization",
"doi": "10.1038/s41598-026-36284-w",
"url": "https://doi.org/10.1038/s41598-026-36284-w",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Li, J.; Hao, Y.; Li, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Interaction effect of courtyard building form and orientation on energy performance of hospitals in warm humid climate",
"doi": "10.1038/s41598-026-40632-1",
"url": "https://doi.org/10.1038/s41598-026-40632-1",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Harshalatha, .; Patil, S.",
"abstract": "Abstract\n The built environment plays a crucial role in optimizing energy consumption within hospital buildings. Enhancing its efficiency is vital for sustainable development. The form, shape and orientation of hospital buildings significantly impact their energy performance, leading to energy savings, improved indoor air quality, and enhanced thermal comfort. This research focuses on assessing the interactive effect of courtyard building forms and orientation on energy performa",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The nonlinear relationship between urban design form and energy efficiency",
"doi": "10.1038/s41598-026-41779-7",
"url": "https://doi.org/10.1038/s41598-026-41779-7",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Lyu, S.; Yan, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy-efficient wireless sensor network for urban groundwater level monitoring using machine learning and sink mobility",
"doi": "10.1038/s41598-026-39435-1",
"url": "https://doi.org/10.1038/s41598-026-39435-1",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Manchanda, R.; Lakshmi, A.; Kaur, G.; Sudhamsu, G.; Samal, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Predicting energy prices and renewable energy adoption through an optimized tree-based learning framework with explainable artificial intelligence",
"doi": "10.1038/s41598-026-35706-z",
"url": "https://doi.org/10.1038/s41598-026-35706-z",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Tang, T.",
"abstract": "Abstract\n This research offers a comprehensive analysis of global energy consumption, focusing on predicting two key metrics: the Energy Price Index and the Renewable Energy Share. The study employs advanced Machine Learning (ML) regression techniques, all further optimized using metaheuristic algorithms. In addition, a primary objective of this study is to determine which variables most significantly affect model performance and predictive accuracy. Through SHAP (SHapley Additi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimal operation of multi-carrier energy systems integrated with renewable energy sources and hydrogen storage systems",
"doi": "10.1038/s41598-026-35497-3",
"url": "https://doi.org/10.1038/s41598-026-35497-3",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Foroughian, S.; Bijan, Z.; Karimi, H.; Hasanzadeh, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Innovative fuzzy reinforcement learning based energy management for smart homes through optimization of renewable energy resources with starfish optimization algorithm",
"doi": "10.1038/s41598-026-40247-6",
"url": "https://doi.org/10.1038/s41598-026-40247-6",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Hamedani, M.; Jahangiri, A.; Mehri, R.; Shamim, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Comparative evaluation of several models for forecasting hourly electricity use in a steel plant",
"doi": "10.1038/s41598-026-43868-z",
"url": "https://doi.org/10.1038/s41598-026-43868-z",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Gu, F.; Zhao, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A collaborative multi-party encryption for mitigating man-in-the-middle attacks in smart grid and energy IoT systems",
"doi": "10.1038/s41598-026-43856-3",
"url": "https://doi.org/10.1038/s41598-026-43856-3",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Alfawair, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The peak shifting electricity consumption management and influencing factors of smart grid from recurrent neural network model and deep learning",
"doi": "10.1038/s41598-026-35754-5",
"url": "https://doi.org/10.1038/s41598-026-35754-5",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Wang, F.; Huang, D.; Lu, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantum-driven frequency stability in Indian prospect smart grid with electric vehicle charging station integration and real-time hardware validation",
"doi": "10.1038/s41598-025-32156-x",
"url": "https://doi.org/10.1038/s41598-025-32156-x",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Kaleeswari, M.; Sivakumar, P.; Aswini, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A multi strategy optimization framework using AI digital twins for smart grid carbon emission reduction",
"doi": "10.1038/s41598-026-38720-3",
"url": "https://doi.org/10.1038/s41598-026-38720-3",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Sakthivel, S.; Arivukarasi, M.; Charulatha, G.; Nithisha, J.; Abirami, B.",
"abstract": "Abstract\n This research presents an AI-enabled digital twin framework to achieve carbon neutrality in smart grids through optimal management of heterogeneous energy storage systems. The proposed structure integrates battery, thermal, and hydrogen storage technologies with AI-driven forecasting models to address the challenge of renewable integration, while maintaining grid stability and economic viability. This paper presents a comparative analysis of three distinct optimization",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electric vehicle charging station recommendation system based on graph neural network and context-aware refinement",
"doi": "10.1038/s41598-026-41271-2",
"url": "https://doi.org/10.1038/s41598-026-41271-2",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Seo, D.; Moon, J.; Kwon, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A multi-dimensional feature aggregation network for electric vehicle charging demand prediction",
"doi": "10.1038/s41598-026-38855-3",
"url": "https://doi.org/10.1038/s41598-026-38855-3",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Yu, Y.; He, L.; Yu, Z.; Tu, Y.; Jing, X.",
"abstract": "Abstract\n \n Accurate prediction of urban electric vehicle (EV) charging demand is critical for infrastructure planning and dynamic pricing strategies. Although various methods have been developed, most existing studies focus primarily on spatiotemporal dependencies, paying limited attention to interactions among multivariate features. Furthermore, conventional serial spatiotemporal architectures typically extract features dimension-by-dimension, which may impe",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Predictive analysis of greenhouse gas emissions from electric vehicle charging in the United States",
"doi": "10.1038/s41598-026-43525-5",
"url": "https://doi.org/10.1038/s41598-026-43525-5",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Amirgholy, M.; Chowdhoury, F.; Wang, C.; Kanigiri, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Optimized scheduling of integrated energy systems considering waste-to-power plants and advanced adiabatic air compression energy storage machines",
"doi": "10.1038/s41598-026-37485-z",
"url": "https://doi.org/10.1038/s41598-026-37485-z",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Wang, W.; Liu, M.; Zhao, H.; Wu, Y.; Tian, Y.",
"abstract": "Abstract\n To achieve carbon peaking and carbon neutrality goals, improve energy utilization efficiency, and accelerate the decarbonization of energy structure, this paper proposes a model that integrates Waste Incineration Power Plant (WIP) and Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) to reduce carbon emissions and enhance system economics. First, based on the coupled WIP and Power-to-Gas (P2G) model, a waste heat recovery unit is introduced to recover exhaust ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy consumption forecasting in logistics considering environmental and operational constraints using FT-transformer architecture",
"doi": "10.1038/s41598-025-34414-4",
"url": "https://doi.org/10.1038/s41598-025-34414-4",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Integrated assessment of tool wear, chip morphology, surface ıntegrity and energy consumption in sustainable milling of Inconel 718",
"doi": "10.1038/s41598-026-37624-6",
"url": "https://doi.org/10.1038/s41598-026-37624-6",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Yurtkuran, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Minimization of outage probability and energy consumption by deep learning-based prediction in D2D mm wave communication",
"doi": "10.1038/s41598-025-34846-y",
"url": "https://doi.org/10.1038/s41598-025-34846-y",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Bilal, N.; Velmurugan, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A probabilistic framework for effective battery energy storage sizing in microgrids with demand response",
"doi": "10.1038/s41598-026-35145-w",
"url": "https://doi.org/10.1038/s41598-026-35145-w",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Alamir, N.; Kamel, S.; Megahed, T.; Hori, M.; Abdelkader, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Optimized economic scheduling of demand response in integrated energy systems considering dynamic energy efficiency and dynamic carbon trading",
"doi": "10.1038/s41598-025-33497-3",
"url": "https://doi.org/10.1038/s41598-025-33497-3",
"journal": "Scientific Reports",
"year": 2026,
"authors": "Mao, H.; Deng, Q.; Zhang, Z.; Yang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "State-of-play of contending silicon photovoltaic technologies",
"doi": "10.1016/j.joule.2025.102240",
"url": "https://doi.org/10.1016/j.joule.2025.102240",
"journal": "Joule",
"year": 2026,
"authors": "Green, M.; Zhou, Z.; Song, N.; Qiu, K.; Xu, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
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"title": "Climate change will increase high-temperature risks, degradation, and costs of rooftop photovoltaics globally",
"doi": "10.1016/j.joule.2025.102218",
"url": "https://doi.org/10.1016/j.joule.2025.102218",
"journal": "Joule",
"year": 2026,
"authors": "Wu, H.; Kong, Q.; Huber, M.; Sun, M.; Craig, M.",
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"title": "Israel-Gaza conflict carbon emissions exceeded 30 million tons",
"doi": "10.1016/j.oneear.2026.101648",
"url": "https://doi.org/10.1016/j.oneear.2026.101648",
"journal": "One Earth",
"year": 2026,
"authors": "Neimark, B.; Otu-Larbi, F.; Larbi, R.; Bigger, P.; Cottrell, L.",
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"title": "Insight into rapid vegetation dynamics in China’s saltmarshes reveals overlooked coastal soil carbon storage",
"doi": "10.1016/j.oneear.2026.101613",
"url": "https://doi.org/10.1016/j.oneear.2026.101613",
"journal": "One Earth",
"year": 2026,
"authors": "Qi, G.; Wei, J.; Li, H.; Xie, T.; Li, L.",
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"title": "The impact of enhanced geothermal systems on transitioning all energy sectors in 150 countries to 100% clean, renewable energy",
"doi": "10.1016/j.crsus.2025.100611",
"url": "https://doi.org/10.1016/j.crsus.2025.100611",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Jacobson, M.; Sambor, D.; Fan, Y.; Mühlbauer, A.; DiBari, G.",
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"title": "Renewable-powered high-temperature compressed air energy storage to accelerate grid decarbonization",
"doi": "10.1016/j.crsus.2026.100639",
"url": "https://doi.org/10.1016/j.crsus.2026.100639",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Yang, D.; Wang, J.; Tang, G.; He, W.",
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"title": "A theoretical upper limit for offshore wind energy extraction",
"doi": "10.1016/j.crsus.2025.100573",
"url": "https://doi.org/10.1016/j.crsus.2025.100573",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Simão Ferreira, C.; Larsen, G.; Sørensen, J.",
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"title": "Low-regret strategies for energy systems planning in a highly uncertain future",
"doi": "10.1016/j.crsus.2025.100585",
"url": "https://doi.org/10.1016/j.crsus.2025.100585",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Wiest, G.; Nolzen, N.; Baader, F.; Bardow, A.; Moret, S.",
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"title": "Urban project-level analysis reveals green technologies decreased the carbon intensity of China’s building construction during 2012–2024",
"doi": "10.1016/j.crsus.2025.100630",
"url": "https://doi.org/10.1016/j.crsus.2025.100630",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Chen, L.; Meng, D.; Wang, Y.; Chen, Z.; Serrenho, A.",
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"title": "Environmental impacts of methane emissions from the oil and gas industry",
"doi": "10.1016/j.crsus.2025.100587",
"url": "https://doi.org/10.1016/j.crsus.2025.100587",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Lu, H.; Xi, D.; Guo, T.; Cheng, Y.",
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"title": "Democratizing life cycle assessment by developing a streamlined model of greenhouse gas emissions from US natural gas supply chains",
"doi": "10.1016/j.crsus.2025.100554",
"url": "https://doi.org/10.1016/j.crsus.2025.100554",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Srikanth, A.; Ramesh, S.; Heath, G.; Jordaan, S.",
"abstract": "",
"data_url": "",
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"title": "Carbon impact of intra-regional transmission congestion",
"doi": "10.1016/j.crsus.2025.100577",
"url": "https://doi.org/10.1016/j.crsus.2025.100577",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Sofia, S.; Dvorkin, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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{
"title": "Aligning circular economy and low-carbon economy for a sustainable built environment",
"doi": "10.1016/j.crsus.2025.100609",
"url": "https://doi.org/10.1016/j.crsus.2025.100609",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Zhang, C.; Behrens, P.; Myers, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"direction_label": "AI & Data Science for Urban Energy Systems"
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"title": "Comparative evaluation of the material consumption and carbon footprint of silicon PV modules",
"doi": "10.1016/j.crsus.2025.100576",
"url": "https://doi.org/10.1016/j.crsus.2025.100576",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Kim, M.; Chan, C.; Wang, S.; Wang, L.; Chang, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
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{
"title": "Repurposing retired batteries for cost-efficient carbon-neutral power system",
"doi": "10.1016/j.crsus.2025.100613",
"url": "https://doi.org/10.1016/j.crsus.2025.100613",
"journal": "Cell Reports Sustainability",
"year": 2026,
"authors": "Ma, R.; Zheng, L.; Wang, J.; Li, H.; Wang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
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"direction_label": "AI & Data Science for Urban Energy Systems"
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{
"title": "Integrated energy in action: Practical learnings from integrating centralized and decentralized energy delivery models in Uganda",
"doi": "10.1016/j.isci.2025.114276",
"url": "https://doi.org/10.1016/j.isci.2025.114276",
"journal": "iScience",
"year": 2026,
"authors": "Mahomed, S.; Shirley, R.; Pan, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Heterogeneous impacts of fear and policy on building energy use during COVID-19 in South Korea",
"doi": "10.1016/j.isci.2025.114479",
"url": "https://doi.org/10.1016/j.isci.2025.114479",
"journal": "iScience",
"year": 2026,
"authors": "Yoo, J.; Kim, D.; Kim, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Improvements in sustainable energy utilization in global urban areas: Insights from remote sensing surveys",
"doi": "10.1016/j.isci.2026.115129",
"url": "https://doi.org/10.1016/j.isci.2026.115129",
"journal": "iScience",
"year": 2026,
"authors": "Song, W.; Cao, S.; Lu, L.; Du, M.; Yang, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Decarbonizing the emirates: A roadmap to net-zero emissions by 2050 in the UAE",
"doi": "10.1016/j.isci.2025.114348",
"url": "https://doi.org/10.1016/j.isci.2025.114348",
"journal": "iScience",
"year": 2026,
"authors": "Yousef, R.; Mac Dowell, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Hail as a damage vector for renewable energy",
"doi": "10.1016/j.isci.2025.114439",
"url": "https://doi.org/10.1016/j.isci.2025.114439",
"journal": "iScience",
"year": 2026,
"authors": "Pryor, S.; Barthelmie, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Robust capacity expansion modeling for renewable energy systems",
"doi": "10.1016/j.isci.2026.114929",
"url": "https://doi.org/10.1016/j.isci.2026.114929",
"journal": "iScience",
"year": 2026,
"authors": "Kebrich, S.; Engelhardt, F.; Franzmann, D.; Büsing, C.; Linßen, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessing the Consistency of Simultaneous Tripling of Nuclear and Renewable Energy Capacity in Korea: Evidence from the IPCC AR6 Scenarios",
"doi": "10.1016/j.isci.2026.115305",
"url": "https://doi.org/10.1016/j.isci.2026.115305",
"journal": "iScience",
"year": 2026,
"authors": "Ahn, J.; Park, S.; Kim, S.; McJeon, H.; Eom, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Inventory Optimization under Tri Phased Demand with Dual Aging and Controlled Backlogging",
"doi": "10.1016/j.isci.2026.115268",
"url": "https://doi.org/10.1016/j.isci.2026.115268",
"journal": "iScience",
"year": 2026,
"authors": "E, A.; S, U.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A scenario-based framework for measuring time-varying generation costs in medium- and long-term electricity markets",
"doi": "10.1016/j.isci.2026.115358",
"url": "https://doi.org/10.1016/j.isci.2026.115358",
"journal": "iScience",
"year": 2026,
"authors": "Huang, S.; Meng, Y.; Ye, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Mechanical-electrical conversion performance of electromagnetic-triboelectric hybrid generator for wind energy harvesting",
"doi": "10.1016/j.isci.2026.114728",
"url": "https://doi.org/10.1016/j.isci.2026.114728",
"journal": "iScience",
"year": 2026,
"authors": "Wang, Z.; Huang, C.; Cao, J.; Li, X.; Bian, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Toward sustainable outcomes for offshore wind and biodiversity in the digital era: Principles for collaborative digital ecosystem-based governance",
"doi": "10.1016/j.isci.2026.114881",
"url": "https://doi.org/10.1016/j.isci.2026.114881",
"journal": "iScience",
"year": 2026,
"authors": "Solman, H.; Mandeville, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Widespread increase in frequency and duration of European wind droughts based on CMIP6 projections",
"doi": "10.1016/j.isci.2026.115075",
"url": "https://doi.org/10.1016/j.isci.2026.115075",
"journal": "iScience",
"year": 2026,
"authors": "Mostue, I.; Valenzuela-Venegas, G.; Banos, D.; Storelvmo, T.; Zeyringer, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Multinary tellurates as energy storage materials",
"doi": "10.1016/j.isci.2026.114936",
"url": "https://doi.org/10.1016/j.isci.2026.114936",
"journal": "iScience",
"year": 2026,
"authors": "Masese, T.; Kanyolo, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cultural innovation driven nonlinear impact: New quality productivity and cultural consumption’s high-carbon trap",
"doi": "10.1016/j.isci.2026.115039",
"url": "https://doi.org/10.1016/j.isci.2026.115039",
"journal": "iScience",
"year": 2026,
"authors": "Wen, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Heat Extraction Performance of Supercritical Carbon Dioxide Flow in Rough Fractured Rock",
"doi": "10.1016/j.isci.2026.115131",
"url": "https://doi.org/10.1016/j.isci.2026.115131",
"journal": "iScience",
"year": 2026,
"authors": "Xiaochun, X.; Cenrui, L.; Peiyushun, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon removal from the ocean by bivalve aquaculture: A global view",
"doi": "10.1016/j.isci.2026.114972",
"url": "https://doi.org/10.1016/j.isci.2026.114972",
"journal": "iScience",
"year": 2026,
"authors": "Tan, K.; Li, Z.; Yan, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Long-run electricity consumption in computing: Exponential growth followed by stabilization due to efficiency gains",
"doi": "10.1016/j.isci.2026.114876",
"url": "https://doi.org/10.1016/j.isci.2026.114876",
"journal": "iScience",
"year": 2026,
"authors": "Pinto, R.; Brockway, P.; Domingos, T.; Sousa, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Large terahertz photovoltaic effect enhanced by phonon excitations in ferroelectric semiconductor SbSI",
"doi": "10.1126/sciadv.adw9796",
"url": "https://doi.org/10.1126/sciadv.adw9796",
"journal": "Science Advances",
"year": 2026,
"authors": "Okamura, Y.; Guo, G.; Kaneko, Y.; Nakamura, M.; Sotome, M.",
"abstract": "Quantum geometry of Bloch electron in crystalline solids produces various exotic quantum phenomena. The shift current photovoltaic effect driven by the photo creation of quasiparticle is one such emerging example that enables the conversion from terahertz photon into dc charge current with absence of dissipative photocarrier. Despite wide-ranging potential applications, however, the fundamental nature of terahertz photovoltaic response has remained elusive. Here, we show the large photocurrent g",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Bulk and interface engineering of 1.7 eV–bandgap chalcogenide solar cells enabling record efficiency",
"doi": "10.1126/sciadv.aed4703",
"url": "https://doi.org/10.1126/sciadv.aed4703",
"journal": "Science Advances",
"year": 2026,
"authors": "Ishizuka, S.; Taguchi, N.",
"abstract": "\n Wide-bandgap chalcogenide photovoltaics offer strong potential for tandem solar cells and solar-driven hydrogen generation via water splitting, yet their performance remains limited by persistent interfacial and bulk defects. Here, we demonstrate enhanced efficiency in 1.7–electron volt CuGaSe\n 2\n thin-film solar cells through aluminum (Al) alloying and rubidium (Rb) incorporation. The Al- and Rb-modified CuGaSe\n 2\n ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Unpacking the growth of global agricultural greenhouse gas emissions",
"doi": "10.1126/sciadv.aeb8653",
"url": "https://doi.org/10.1126/sciadv.aeb8653",
"journal": "Science Advances",
"year": 2026,
"authors": "Ortiz-Bobea, A.; Pieralli, S.",
"abstract": "\n Agriculture, forestry, and other land use contribute about a fifth of total anthropogenic greenhouse gas (GHG) emissions. Mitigation efforts have emphasized “decoupling” that sustains production while lowering emissions per unit of output. However, the underlying decoupling mechanisms have not been fully characterized. We rely on a mathematical identity to decompose agricultural GHG emission growth (\n \n \n \n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reassessing boreal wildfire drivers enables high-resolution mapping of emissions for climate adaptation",
"doi": "10.1126/sciadv.adw5226",
"url": "https://doi.org/10.1126/sciadv.adw5226",
"journal": "Science Advances",
"year": 2026,
"authors": "Eckdahl, J.; Nieradzik, L.; Rütting, L.",
"abstract": "The expansive carbon reservoirs of the boreal region are becoming some of the most rapidly growing sources of greenhouse gasses under a positive feedback between intensifying fire activity and climate change. However, current regional-scale methods lack the spatial precision needed to improve understanding of the drivers of these fluxes to inform strategies aimed at maximizing landscape carbon storage. Here, we develop an alternative and highly constrained procedure for estimating wildfire emiss",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electroluminescent perovskite QD–based neural networks for energy-efficient and accelerate multitasking learning",
"doi": "10.1126/sciadv.ady8518",
"url": "https://doi.org/10.1126/sciadv.ady8518",
"journal": "Science Advances",
"year": 2026,
"authors": "Park, Y.; Wang, G.",
"abstract": "\n The ability of multitasking (MT) learning in neuro-inspired artificial intelligence (AI) systems offers promise for energy-efficient deployment in robotics, health care, and autonomous vehicles. Here, an MT learning framework is established using a dual-output electroluminescent synaptic device array based on a mixed-dimensional stacked configuration with Cs\n \n 1−\n x\n \n FA\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On-demand cancer immunotherapy via single-cell encapsulation of synthetic circuit–engineered cells",
"doi": "10.1126/sciadv.aea3573",
"url": "https://doi.org/10.1126/sciadv.aea3573",
"journal": "Science Advances",
"year": 2026,
"authors": "Zhao, Y.; Li, R.; Han, Y.; Shi, C.; Lee, K.",
"abstract": "\n Despite the therapeutic potential of engineered immune cell therapy against metastases, it faces challenges including cytokine-driven systemic toxicity, off-target biodistribution, and host rejection. Here, we develop red/far-red light-regulated individually encapsulated (RL/FRL-EnE) cells, integrating optogenetics with biomaterial encapsulation for precise immunomodulation. This system uses a phytochrome A–based photoswitch (ΔPhyA-PCB) that enables bidirectional control. RL",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Programmable electric tweezers",
"doi": "10.1126/sciadv.aec3443",
"url": "https://doi.org/10.1126/sciadv.aec3443",
"journal": "Science Advances",
"year": 2026,
"authors": "Chen, Y.; Tan, H.; Zhuang, J.; Xu, Y.; Zhang, C.",
"abstract": "The interaction between a single microscopic object such as a cell or a molecule and electromagnetic field is fundamental in single-object manipulation such as optical trap and magnetic trap. Function-on-demand, single-object manipulation requires local high-freedom control of electromagnetic field, which remains challenging. Here, we propose a manipulation concept: programmable single-object manipulation, based on programming the electromagnetic field in a multibit electrode system realized on ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Chang’E-6 reveals solar wind–dependent H\n −\n ions on the Moon",
"doi": "10.1126/sciadv.adw1162",
"url": "https://doi.org/10.1126/sciadv.adw1162",
"journal": "Science Advances",
"year": 2026,
"authors": "Zhong, T.; Xie, L.; Zhang, A.; Wieser, M.; Wang, W.",
"abstract": "\n Apart from positive ions and electrons, negative ions are expected in various astrophysical environments. However, they have never been detected on the Moon until the Chang’E-6 mission. The NILS instrument onboard Chang’E-6 lander is the first dedicated instrument for detecting negative ions beyond Earth and has successfully obtained H\n −\n spectra on the lunar surface, providing an unprecedented opportunity to investigate their origin an",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Boosting capacitive energy storage in relaxor ferroelectrics through polymorphic phase engineering",
"doi": "10.1126/sciadv.aeb7173",
"url": "https://doi.org/10.1126/sciadv.aeb7173",
"journal": "Science Advances",
"year": 2026,
"authors": "Zhang, Y.; Liang, H.; Liu, Y.; Li, D.; Dong, S.",
"abstract": "\n Relaxor ferroelectric materials are promising for next-generation capacitors due to their high energy storage capacity. Polymorphic phase engineering, where different ferroelectric phases coexist, has been widely demonstrated as an effective approach to further boost capacitive energy storage performance of relaxor ferroelectrics, but the reasons for these improvements and how they compare to single-phase systems remain unclear. Here, taking dendrite-like PbZr\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rigid-flexible heptazine-biguanide frameworks enable fast electron delocalization and low-steric-hindrance ammonium-ion storage",
"doi": "10.1126/sciadv.aec9924",
"url": "https://doi.org/10.1126/sciadv.aec9924",
"journal": "Science Advances",
"year": 2026,
"authors": "Du, W.; Zhang, Y.; Duan, H.; Lv, Y.; Song, Z.",
"abstract": "\n Polymer anodes solve the solubility issue of small molecules while offering structure-function merits compared with inorganics for superior ammonium-ion batteries (AIBs), but current research focuses either on rigid polymers for rapid ion transport or flexible ones for high active-site utilization. Here, we design polymeric heptazine-biguanide frameworks (HBFs) via integrating planar three-electron meleme and rotated four-electron chlorhexidine linkers, which harness the adv",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The ocean’s biological carbon pump under pressure",
"doi": "10.1126/sciadv.aef3182",
"url": "https://doi.org/10.1126/sciadv.aef3182",
"journal": "Science Advances",
"year": 2026,
"authors": "Middelburg, J.",
"abstract": "Increasing hydrostatic pressure induces the release of dissolved organic matter from rapidly settling marine particles and contributes to the depth attenuation of carbon fluxes.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global dataset combining open-source hydropower plant and reservoir data",
"doi": "10.1038/s41597-025-04975-0",
"url": "https://doi.org/10.1038/s41597-025-04975-0",
"journal": "Scientific Data",
"year": 2025,
"authors": "Shah, J.; Hu, J.; Edelenbosch, O.; van Vliet, M.",
"abstract": "Abstract\n Hydropower is a crucial renewable source that depends heavily on water availability. Analyzing drought and climate change impacts on hydropower potential requires detailed data on both hydropower plant attributes (e.g. plant type and head) and reservoir characteristics (e.g. area, depth and volume). However, existing open-source datasets are poorly integrated: hydropower plant datasets often lack reservoir information, while reservoir datasets commonly miss hydropower plant in",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction",
"doi": "10.1038/s41597-025-04874-4",
"url": "https://doi.org/10.1038/s41597-025-04874-4",
"journal": "Scientific Data",
"year": 2025,
"authors": "Li, H.; Qu, H.; Tan, X.; You, L.; Zhu, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Global photovoltaic solar panel dataset from 2019 to 2022",
"doi": "10.1038/s41597-025-04985-y",
"url": "https://doi.org/10.1038/s41597-025-04985-y",
"journal": "Scientific Data",
"year": 2025,
"authors": "Li, A.; Liu, L.; Li, S.; Cui, X.; Chen, X.",
"abstract": "Abstract\n Solar photovoltaic (PV) power generation, known for its affordability and environmental benefits, is a key component of the global energy supply. However, the lack of comprehensive, timely, and precise global PV datasets has limited spatial analysis of PV potential. We developed a new method to identify PV panels globally, producing an annual 20-meter resolution dataset for 2019–2022. This dataset offers unprecedented detail and accuracy for future research and policy-making. ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework",
"doi": "10.1038/s41597-025-05891-z",
"url": "https://doi.org/10.1038/s41597-025-05891-z",
"journal": "Scientific Data",
"year": 2025,
"authors": "Yang, Y.; Lin, S.; Lu, R.; Liu, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar PV Generation and Consumption Dataset of an Estonian Residential Dwelling",
"doi": "10.1038/s41597-025-04747-w",
"url": "https://doi.org/10.1038/s41597-025-04747-w",
"journal": "Scientific Data",
"year": 2025,
"authors": "Hasan, S.; Blinov, A.; Chub, A.; Vinnikov, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product",
"doi": "10.1038/s41597-024-04325-6",
"url": "https://doi.org/10.1038/s41597-024-04325-6",
"journal": "Scientific Data",
"year": 2025,
"authors": "Chen, S.; Liu, L.; Sui, L.; Liu, X.; Ma, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Longitudinal Dataset of Net-load, PV Production and Solar Irradiation from Madeira Island, Portugal",
"doi": "10.1038/s41597-025-06118-x",
"url": "https://doi.org/10.1038/s41597-025-06118-x",
"journal": "Scientific Data",
"year": 2025,
"authors": "Pereira, L.; Monteiro, D.; Apina, F.; Scuri, S.; Barreto, M.",
"abstract": "Abstract\n This paper presents the PTProsumer dataset, a high-resolution dataset of photovoltaic (PV) production and net-load measurements collected from 24 prosumers - entities that both produce and consume electricity, including households and small commercial buildings - on Madeira Island, Portugal. The dataset covers monitoring periods ranging from 3 months to 5 years, with measurements sampled at a 1-second resolution, resulting in approximately 3.89 billion data points. PV ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A harmonized dataset of ground-mounted solar energy in the US with enhanced metadata",
"doi": "10.1038/s41597-025-05862-4",
"url": "https://doi.org/10.1038/s41597-025-05862-4",
"journal": "Scientific Data",
"year": 2025,
"authors": "Stid, J.; Kendall, A.; Anctil, A.; Rapp, J.; Bingaman, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning",
"doi": "10.1038/s41597-025-05186-3",
"url": "https://doi.org/10.1038/s41597-025-05186-3",
"journal": "Scientific Data",
"year": 2025,
"authors": "Engel, J.; Castellani, A.; Wollstadt, P.; Lanfermann, F.; Schmitt, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "From Footprints to Functions: A Comprehensive Global and Semantic Building Footprint Dataset",
"doi": "10.1038/s41597-025-06132-z",
"url": "https://doi.org/10.1038/s41597-025-06132-z",
"journal": "Scientific Data",
"year": 2025,
"authors": "Oostwegel, L.; Schorlemmer, D.; Guéguen, P.",
"abstract": "Abstract\n \n Buildings play a critical role in understanding settlement patterns and are essential for crisis management, urban planning, energy efficiency, and multi-hazard risk assessment. To address the need for accessible global building data, we introduce a dataset containing 2.7 billion building footprints classified using the building taxonomy of the Global Earthquake Model. By conflating the AI-derived\n Google Open Buildings\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A global urban tree leaf area index dataset for urban climate modeling",
"doi": "10.1038/s41597-025-04729-y",
"url": "https://doi.org/10.1038/s41597-025-04729-y",
"journal": "Scientific Data",
"year": 2025,
"authors": "Dong, W.; Yuan, H.; Lin, W.; Liu, Z.; Xiang, J.",
"abstract": "Abstract\n Urban trees are recognized for mitigating urban thermal stress, therefore incorporating their effects is crucial for urban climate research. However, due to the limitation of remote sensing, the LAI in urban areas is generally masked (e.g., MODIS), which in turn limits its application in Urban Canopy Models (UCMs). To address this gap, we developed a high-resolution (500 m) and long-time-series (2000–2022) urban tree LAI dataset derived through the Random Forest model trained ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A dataset of emissions and removals from scenarios and pathways within long-term national climate strategies – the LTS-SP dataset",
"doi": "10.1038/s41597-025-04804-4",
"url": "https://doi.org/10.1038/s41597-025-04804-4",
"journal": "Scientific Data",
"year": 2025,
"authors": "Smith, H.; Vaughan, N.; Forster, J.",
"abstract": "Abstract\n Long-term low emission development strategies (LT-LEDS), supported by Article 4, paragraph 19, of the Paris Agreement, present scenarios and pathways aligned with national long-term climate targets. There is a growing interest in understanding whether the collective effort of national climate plans align with the goals of the Paris Agreement, alongside the feasibility, sectoral focus, and the balance of emissions and removals seen in national scenarios. Here we introduce the l",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A dataset of structural breaks in greenhouse gas emissions for climate policy evaluation",
"doi": "10.1038/s41597-024-04321-w",
"url": "https://doi.org/10.1038/s41597-024-04321-w",
"journal": "Scientific Data",
"year": 2025,
"authors": "Tebecis, T.; Crespo Cuaresma, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Acoustic Emissions from Grey Glacier, Chilean Patagonia: dataset of infrasound measurements",
"doi": "10.1038/s41597-025-05778-z",
"url": "https://doi.org/10.1038/s41597-025-05778-z",
"journal": "Scientific Data",
"year": 2025,
"authors": "Sánchez, C.; Gheri, D.; Casanova, E.; Zuccarello, L.; De Angelis, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "China’s product-level CO2 emissions dataset aligned with national input-output tables from 1997 to 2020",
"doi": "10.1038/s41597-025-04366-5",
"url": "https://doi.org/10.1038/s41597-025-04366-5",
"journal": "Scientific Data",
"year": 2025,
"authors": "Li, X.; Liu, Y.; Zhang, J.; Zhou, M.; Meng, B.",
"abstract": "AbstractCarbon emission research based on input-output tables (IOTs) has received attention, but data quality issues persist due to inconsistencies between the sectoral scopes of energy statistics and IOTs. Specifically, China’s official energy data are reported at the industry level, whereas IOTs are organized by product sectors. Valid IOT-based environmental models require consistent transformation from industry-level to product-level emissions. However, most existing studies overlook this nec",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A hierarchical dataset on multiple energy consumption and PV generation with emissions and weather information",
"doi": "10.1038/s41597-025-06010-8",
"url": "https://doi.org/10.1038/s41597-025-06010-8",
"journal": "Scientific Data",
"year": 2025,
"authors": "Dong, H.; Zhu, J.; Chung, C.; Liang, Z.; Yang, H.",
"abstract": "Abstract\n This study constructs a multi-source and hierarchical dataset of energy consumption, photovoltaic (PV) power generation, greenhouse gas (GHG) emissions, and weather information, dubbed Hierarchical Energy, Emissions, and Weather (HEEW). This dataset contains 11,987,328 records for 147 individual buildings, four aggregated communities, and the entire region, which is structured as time-series tables indexed by building ID and timestamps from 1 January 2014 to 31 Decembe",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation",
"doi": "10.1038/s41597-025-05672-8",
"url": "https://doi.org/10.1038/s41597-025-05672-8",
"journal": "Scientific Data",
"year": 2025,
"authors": "Yuan, Q.; Wang, X.; Che, T.; Li, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vulcan version 4.0 high-resolution annual carbon dioxide emissions in the U.S. for the 2010–2022 time period",
"doi": "10.1038/s41597-025-06391-w",
"url": "https://doi.org/10.1038/s41597-025-06391-w",
"journal": "Scientific Data",
"year": 2025,
"authors": "Gurney, K.; Dass, P.; Kato, A.; Gawuc, L.; Aslam, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A global dataset of the cost of capital for renewable energy projects",
"doi": "10.1038/s41597-025-05912-x",
"url": "https://doi.org/10.1038/s41597-025-05912-x",
"journal": "Scientific Data",
"year": 2025,
"authors": "Steffen, B.; Egli, F.; Gumber, A.; Ðukan, M.; Waidelich, P.",
"abstract": "Abstract\n The cost of capital (CoC) critically influences the levelized cost of renewable energy and, by extension, the global low-carbon transition. However, reliable and consistent CoC data remain scarce, limiting an appropriate reflection of CoC differences in energy system and integrated assessment models. We present a global dataset of CoC for renewable energy projects, covering 68 countries from 2010 to 2022 and focusing on three key technologies: utility-scale solar photovoltaics",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A Large-Scale Dataset of Distributed Renewable Energy Scenarios on the IEEE-33 Bus Network",
"doi": "10.1038/s41597-025-06464-w",
"url": "https://doi.org/10.1038/s41597-025-06464-w",
"journal": "Scientific Data",
"year": 2025,
"authors": "Chen, Y.; Xie, H.; Huang, W.; Li, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An hourly climate projection and renewable energy generation dataset for power system modeling in China",
"doi": "10.1038/s41597-025-06396-5",
"url": "https://doi.org/10.1038/s41597-025-06396-5",
"journal": "Scientific Data",
"year": 2025,
"authors": "Chen, R.; Hobbs, B.; Lu, Z.; Dvorkin, Y.; Qiao, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A dataset for understanding self-reported patterns influencing residential energy decisions",
"doi": "10.1038/s41597-025-05335-8",
"url": "https://doi.org/10.1038/s41597-025-05335-8",
"journal": "Scientific Data",
"year": 2025,
"authors": "Fuentes, T.; McCord, K.; Martell, M.; Antonopoulos, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dataset on occupant behavior, indoor environment, and energy use before and after dormitory retrofit",
"doi": "10.1038/s41597-025-05166-7",
"url": "https://doi.org/10.1038/s41597-025-05166-7",
"journal": "Scientific Data",
"year": 2025,
"authors": "Pandey, P.; Liu, Y.; Wilson, N.; Dong, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Energy consumption and IEQ monitoring in two university apartment buildings: Pre-retrofit dataset",
"doi": "10.1038/s41597-025-05355-4",
"url": "https://doi.org/10.1038/s41597-025-05355-4",
"journal": "Scientific Data",
"year": 2025,
"authors": "Mirzabeigi, S.; Soltanian-Zadeh, S.; Krietemeyer, B.; Dong, B.; Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "COFACTOR Drammen dataset - 4 years of hourly energy use data from 45 public buildings in Drammen, Norway",
"doi": "10.1038/s41597-025-04708-3",
"url": "https://doi.org/10.1038/s41597-025-04708-3",
"journal": "Scientific Data",
"year": 2025,
"authors": "Lien, S.; Walnum, H.; Sørensen, Å.",
"abstract": "Abstract\n To limit energy consumption and peak loads with increased electrification of our society, more information is needed about the energy use in buildings. This article presents a data set that contains 4 years (Jan. 2018- Dec. 2021/Mar. 2022) of hourly measurements of energy and weather data from 45 public buildings located in Drammen, Norway. The buildings are schools (16), kindergartens (20), nursing homes (7) and offices (2). For each building, the data set contains contextual",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multi-resolution dataset of electricity consumption in Chinese cities",
"doi": "10.1038/s41597-025-06256-2",
"url": "https://doi.org/10.1038/s41597-025-06256-2",
"journal": "Scientific Data",
"year": 2025,
"authors": "Zhou, K.; Hu, R.; Lu, X.; Yang, Z.; Gao, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A City-scale and Harmonized Dataset for Global Electric Vehicle Charging Demand Analysis",
"doi": "10.1038/s41597-025-05584-7",
"url": "https://doi.org/10.1038/s41597-025-05584-7",
"journal": "Scientific Data",
"year": 2025,
"authors": "Guo, Z.; You, L.; Zhu, R.; Zhang, Y.; Yuen, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "5G High Density Demand Dataset in Liverpool City Region, UK",
"doi": "10.1038/s41597-025-06282-0",
"url": "https://doi.org/10.1038/s41597-025-06282-0",
"journal": "Scientific Data",
"year": 2025,
"authors": "Maheshwari, M.; Raschellà, A.; Mackay, M.; Eiza, M.; Wetherall, J.",
"abstract": "Abstract\n The wireless network data are a feasible way to understand the user behavior in a given environment and may be utilized for analysis, prediction and optimization. On the other hand, datasets from wireless service providers are not publicly available, and obtaining a dataset in real time is challenging. In this work, we present a 5G dense deployment dataset obtained from the Liverpool City Region High Density Demand (LCR HDD) project. The project involves network deploy",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A 20-year dataset (2001–2020) of global cropland water-use efficiency at 1-km grid resolution",
"doi": "10.1038/s41597-025-04904-1",
"url": "https://doi.org/10.1038/s41597-025-04904-1",
"journal": "Scientific Data",
"year": 2025,
"authors": "Jiang, M.; Zheng, C.; Jia, L.; Chen, J.",
"abstract": "Abstract\n Cropland water-use efficiency (WUE) is an essential indicator for the sustainable utilization of agricultural water resources. The lack of long-term global cropland WUE datasets with high spatial resolution limits our understanding of global and regional patterns of cropland WUE. This study developed a long-term global cropland WUE dataset at 1-km spatial resolution from 2001 to 2020. The cropland WUE was obtained as the ratio between net primary productivity (NPP) and evapotr",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Mondragon Unibertsitatea face-milling dataset for smart tool condition monitoring",
"doi": "10.1038/s41597-025-05168-5",
"url": "https://doi.org/10.1038/s41597-025-05168-5",
"journal": "Scientific Data",
"year": 2025,
"authors": "Peralta Abadia, J.; Cuesta Zabaljauregui, M.; Larrinaga Barrenechea, F.",
"abstract": "Abstract\n This article presents a dataset of face-milling experiments for smart tool condition monitoring (TCM) performed under varying cutting conditions in the High-Perfomance Machining laboratory of Mondragon Unibertsitatea (MU). The experiments collected raw internal signals from the machine. Cutting forces, vibration signals, and acoustic emission signals were collected with external sensors. Tool wear was measured before each experiment and annotated accordingly, providing tool we",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Underground well water level observation grid dataset from 2005 to 2022",
"doi": "10.1038/s41597-025-04799-y",
"url": "https://doi.org/10.1038/s41597-025-04799-y",
"journal": "Scientific Data",
"year": 2025,
"authors": "Wang, M.; Yao, J.; Chang, H.; Liu, R.; Xu, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dataset of CO2 geological storage potential and injection rate capacity in China based on fine grid technology",
"doi": "10.1038/s41597-025-04875-3",
"url": "https://doi.org/10.1038/s41597-025-04875-3",
"journal": "Scientific Data",
"year": 2025,
"authors": "Fan, J.; Xiang, X.; Yao, Y.; Li, K.; Li, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "HIPGDAC-ES: historical population grid data compilation for Spain (1900–2021)",
"doi": "10.1038/s41597-025-04533-8",
"url": "https://doi.org/10.1038/s41597-025-04533-8",
"journal": "Scientific Data",
"year": 2025,
"authors": "Goerlich, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "High-temporal-resolution dataset of uni-, bidirectional, and dynamic electric vehicle charging profiles",
"doi": "10.1038/s41597-025-05524-5",
"url": "https://doi.org/10.1038/s41597-025-05524-5",
"journal": "Scientific Data",
"year": 2025,
"authors": "Esser, M.; Orfanoudakis, S.; Homaee, O.; Vahidinasab, V.; Vergara, P.",
"abstract": "Abstract\n The transition to Electric Vehicles (EVs) introduces challenges for power grid integration, particularly due to the growing demand for charging infrastructure. To support research on smart charging strategies and bidirectional charging applications, this study presents an open-access dataset containing 142 EV charging profiles obtained in a laboratory environment. The dataset includes static charging and discharging scenarios alongside dynamic profiles where the charging power",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A high-resolution electric vehicle charging transaction dataset with multidimensional features in China",
"doi": "10.1038/s41597-025-04982-1",
"url": "https://doi.org/10.1038/s41597-025-04982-1",
"journal": "Scientific Data",
"year": 2025,
"authors": "Zhang, Y.; Xu, T.; Chen, T.; Hu, Q.; Chen, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Unveiling Energy Dynamics of Battery Electric Vehicle Using High-Resolution Data",
"doi": "10.1038/s41597-025-06148-5",
"url": "https://doi.org/10.1038/s41597-025-06148-5",
"journal": "Scientific Data",
"year": 2025,
"authors": "Yasko, M.; Moussa Issaka, A.; Tian, F.; Kazmi, H.; Driesen, J.",
"abstract": "Abstract\n Battery electric vehicles (BEVs) have increasingly positioned themselves as a critical technology in the power system, impacting the world’s energy consumption. Understanding the BEV energy dynamics can contribute to vehicle, infrastructure, and grid optimization. Currently, BEV manufacturers provide limited access to the vehicle’s high energy consuming components, such as the battery and the charger. Therefore, existing public datasets consist mostly of aggregated dat",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multimodal dataset for wind turbine blade monitoring during lightning strikes",
"doi": "10.1038/s41597-025-05651-z",
"url": "https://doi.org/10.1038/s41597-025-05651-z",
"journal": "Scientific Data",
"year": 2025,
"authors": "Li, T.; Li, C.; Qin, Y.; Tan, L.; Jiang, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "High-resolution gridded dataset of China’s offshore wind potential and costs under technical change",
"doi": "10.1038/s41597-025-04428-8",
"url": "https://doi.org/10.1038/s41597-025-04428-8",
"journal": "Scientific Data",
"year": 2025,
"authors": "An, K.; Cai, W.; Lu, X.; Wang, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A Global ERA5-based Tropical Cyclone Wind Field Dataset Enhanced by Integrated Parametric Correction Methods",
"doi": "10.1038/s41597-025-05789-w",
"url": "https://doi.org/10.1038/s41597-025-05789-w",
"journal": "Scientific Data",
"year": 2025,
"authors": "Liu, G.; Jiang, S.; Zheng, M.; Lin, S.; Kong, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Weather & Meteorological Data",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A dataset of carbon parameters for the 24,366 lakes in China from 40-year Landsat observations",
"doi": "10.1038/s41597-025-05960-3",
"url": "https://doi.org/10.1038/s41597-025-05960-3",
"journal": "Scientific Data",
"year": 2025,
"authors": "Yan, N.; Yan, Y.; Zhang, C.; Qiu, Z.; Hu, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Full-scope carbon dioxide emission dataset for Chinese cities in 2023",
"doi": "10.1038/s41597-025-05949-y",
"url": "https://doi.org/10.1038/s41597-025-05949-y",
"journal": "Scientific Data",
"year": 2025,
"authors": "Meng, F.; Hu, H.; Sun, Y.; Zhang, L.; Hou, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022",
"doi": "10.1038/s41597-025-05938-1",
"url": "https://doi.org/10.1038/s41597-025-05938-1",
"journal": "Scientific Data",
"year": 2025,
"authors": "Patil, S.; Pflugradt, N.; Weinand, J.; Kropp, J.; Stolten, D.",
"abstract": "Abstract\n Sectorally-detailed municipal energy consumption and emissions datasets are crucial for localized policy-making, resource allocation, and climate action planning. While some large municipalities develop bottom-up inventories, smaller ones often lack the capacity to do so. Existing studies have spatially disaggregated national totals, yet no dataset to date provides both energy consumption and emissions data across multiple sectors at the municipal level. This study addresses t",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A near-real time daily European Power Consumption and Carbon Intensity Dataset (ECON-PowerCI)",
"doi": "10.1038/s41597-025-05978-7",
"url": "https://doi.org/10.1038/s41597-025-05978-7",
"journal": "Scientific Data",
"year": 2025,
"authors": "Zhang, S.; Zhao, W.; Zhu, B.; Yan, C.; Song, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Renewable energy cooperatives",
"doi": "10.1038/s41560-025-01728-6",
"url": "https://doi.org/10.1038/s41560-025-01728-6",
"journal": "Nature Energy",
"year": 2025,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Local energy initiatives",
"doi": "10.1038/s41560-025-01808-7",
"url": "https://doi.org/10.1038/s41560-025-01808-7",
"journal": "Nature Energy",
"year": 2025,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A broader view of energy",
"doi": "10.1038/s41560-025-01855-0",
"url": "https://doi.org/10.1038/s41560-025-01855-0",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Chemical processes and the energy system",
"doi": "10.1038/s41560-025-01954-y",
"url": "https://doi.org/10.1038/s41560-025-01954-y",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Aligning research with energy decision making",
"doi": "10.1038/s41560-025-01797-7",
"url": "https://doi.org/10.1038/s41560-025-01797-7",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rooftop solar can reduce energy insecurity",
"doi": "10.1038/s41560-025-01750-8",
"url": "https://doi.org/10.1038/s41560-025-01750-8",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Unequal solar photovoltaic performance by race and income partly reflects financing models and installer choices",
"doi": "10.1038/s41560-025-01743-7",
"url": "https://doi.org/10.1038/s41560-025-01743-7",
"journal": "Nature Energy",
"year": 2025,
"authors": "Gherghina, M.; Dokshin, F.; Leffel, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Citizen-financed solar projects",
"doi": "10.1038/s41560-025-01710-2",
"url": "https://doi.org/10.1038/s41560-025-01710-2",
"journal": "Nature Energy",
"year": 2025,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Inert low-dimensional interfaces for perovskite solar cells",
"doi": "10.1038/s41560-025-01818-5",
"url": "https://doi.org/10.1038/s41560-025-01818-5",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Graphite-protected organic photoactive layer for direct solar hydrogen generation",
"doi": "10.1038/s41560-025-01737-5",
"url": "https://doi.org/10.1038/s41560-025-01737-5",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "An antisolvent-seeding approach to produce stable flexible tandem solar cells",
"doi": "10.1038/s41560-025-01766-0",
"url": "https://doi.org/10.1038/s41560-025-01766-0",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Vehicle-to-home charging can cut costs and emissions",
"doi": "10.1038/s41560-025-01899-2",
"url": "https://doi.org/10.1038/s41560-025-01899-2",
"journal": "Nature Energy",
"year": 2025,
"authors": "Chen, J.; Keoleian, G.; Vaishnav, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Diversity of biomass usage pathways to achieve emissions targets in the European energy system",
"doi": "10.1038/s41560-024-01693-6",
"url": "https://doi.org/10.1038/s41560-024-01693-6",
"journal": "Nature Energy",
"year": 2025,
"authors": "Millinger, M.; Hedenus, F.; Zeyen, E.; Neumann, F.; Reichenberg, L.",
"abstract": "Abstract\n Biomass is a versatile renewable energy source with applications across the energy system, but it is a limited resource and its usage needs prioritization. We use a sector-coupled European energy system model to explore near-optimal solutions for achieving emissions targets. We find that provision of biogenic carbon has higher value than bioenergy provision. Energy system costs increase by 20% if biomass is excluded at a net-negative (−110%) emissions target and by 14%",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global greenhouse gas emissions mitigation potential of existing and planned hydrogen projects",
"doi": "10.1038/s41560-025-01892-9",
"url": "https://doi.org/10.1038/s41560-025-01892-9",
"journal": "Nature Energy",
"year": 2025,
"authors": "Terlouw, T.; Moretti, C.; Harpprecht, C.; Sacchi, R.; McKenna, R.",
"abstract": "Abstract\n \n Hydrogen will play a critical role in decarbonizing diverse economic sectors. However, given limited sustainable resources and the energy-intensive nature of its production, prioritizing its applications will be essential. Here, we analyse approximately 2,000 (low-carbon) hydrogen projects worldwide, encompassing operational and planned initiatives until 2043, quantifying their greenhouse gas (GHG) emissions and mitigation potential from a life cyc",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Interregional transmission can increase reliability while reducing costs and emissions in the US",
"doi": "10.1038/s41560-025-01914-6",
"url": "https://doi.org/10.1038/s41560-025-01914-6",
"journal": "Nature Energy",
"year": 2025,
"authors": "Senga, J.; Botterud, A.; Parsons, J.; Story, S.; Knittel, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vehicle-to-home charging can cut costs and greenhouse gas emissions across the USA",
"doi": "10.1038/s41560-025-01894-7",
"url": "https://doi.org/10.1038/s41560-025-01894-7",
"journal": "Nature Energy",
"year": 2025,
"authors": "Chen, J.; Anderson, J.; De Kleine, R.; Kim, H.; Keoleian, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Implications of policy-driven transmission expansion for costs, emissions and reliability in the USA",
"doi": "10.1038/s41560-025-01921-7",
"url": "https://doi.org/10.1038/s41560-025-01921-7",
"journal": "Nature Energy",
"year": 2025,
"authors": "Senga, J.; Botterud, A.; Parsons, J.; Story, S.; Knittel, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Lessons from wholesale market success for system service procurement design in high renewable electricity markets",
"doi": "10.1038/s41560-024-01699-0",
"url": "https://doi.org/10.1038/s41560-024-01699-0",
"journal": "Nature Energy",
"year": 2025,
"authors": "Lynch, M.; Bertsch, V.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Power price stability and the insurance value of renewable technologies",
"doi": "10.1038/s41560-025-01704-0",
"url": "https://doi.org/10.1038/s41560-025-01704-0",
"journal": "Nature Energy",
"year": 2025,
"authors": "Navia Simon, D.; Diaz Anadon, L.",
"abstract": "Abstract\n To understand if renewables stabilize or destabilize electricity prices, we simulate European power markets as projected by the National Energy and Climate Plans for 2030 but replicating the historical variability in electricity demand, the prices of fossil fuels and weather. We propose a β-sensitivity metric, defined as the projected increase in the average annual price of electricity when the price of natural gas increases by 1 euro. We show that annual power prices spikes w",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Shaping residential electricity demand with negative pricing",
"doi": "10.1038/s41560-025-01901-x",
"url": "https://doi.org/10.1038/s41560-025-01901-x",
"journal": "Nature Energy",
"year": 2025,
"authors": "Yang, Y.; Raman, G.; Peng, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Faster deployment of renewables stabilizes electricity prices in Europe",
"doi": "10.1038/s41560-025-01715-x",
"url": "https://doi.org/10.1038/s41560-025-01715-x",
"journal": "Nature Energy",
"year": 2025,
"authors": "Navia Simon, D.; Diaz Anadon, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How central banks manage climate and energy transition risks",
"doi": "10.1038/s41560-025-01724-w",
"url": "https://doi.org/10.1038/s41560-025-01724-w",
"journal": "Nature Energy",
"year": 2025,
"authors": "Shears, E.; Meckling, J.; Finnegan, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Breaking the cycle of underinvestment in climate-resilient energy infrastructure",
"doi": "10.1038/s41560-025-01868-9",
"url": "https://doi.org/10.1038/s41560-025-01868-9",
"journal": "Nature Energy",
"year": 2025,
"authors": "Fuso Nerini, F.; Adshead, D.; Thacker, S.; Pant, R.; Hall, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid-scale corrosion-free Zn/Br flow batteries enabled by a multi-electron transfer reaction",
"doi": "10.1038/s41560-025-01907-5",
"url": "https://doi.org/10.1038/s41560-025-01907-5",
"journal": "Nature Energy",
"year": 2025,
"authors": "Xu, Y.; Li, T.; Peng, Z.; Xie, C.; Li, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "AI data centres as grid-interactive assets",
"doi": "10.1038/s41560-025-01927-1",
"url": "https://doi.org/10.1038/s41560-025-01927-1",
"journal": "Nature Energy",
"year": 2025,
"authors": "Colangelo, P.; Coskun, A.; Megrue, J.; Roberts, C.; Sengupta, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Author Correction: US industrial policy may reduce electric vehicle battery supply chain vulnerabilities and influence technology choice",
"doi": "10.1038/s41560-025-01799-5",
"url": "https://doi.org/10.1038/s41560-025-01799-5",
"journal": "Nature Energy",
"year": 2025,
"authors": "Cheng, A.; Fuchs, E.; Michalek, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The impact of sound ordinances on the land-based wind technical potential of the United States",
"doi": "10.1038/s41560-025-01739-3",
"url": "https://doi.org/10.1038/s41560-025-01739-3",
"journal": "Nature Energy",
"year": 2025,
"authors": "Gu, J.; Glaws, A.; Harrison-Atlas, D.; Bortolotti, P.; Kaliski, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A catalytic cycle that enables crude hydrogen separation, storage and transportation",
"doi": "10.1038/s41560-025-01806-9",
"url": "https://doi.org/10.1038/s41560-025-01806-9",
"journal": "Nature Energy",
"year": 2025,
"authors": "Chen, Y.; Kong, X.; Yang, C.; Liao, Y.; Gao, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ambient pressure storage of high-density methane in nanoporous carbon coated with graphene",
"doi": "10.1038/s41560-025-01783-z",
"url": "https://doi.org/10.1038/s41560-025-01783-z",
"journal": "Nature Energy",
"year": 2025,
"authors": "Wang, S.; Vallejos-Burgos, F.; Furuse, A.; Otsuka, H.; Nagae, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The EU battery carbon footprint rules need urgent attention",
"doi": "10.1038/s41560-025-01844-3",
"url": "https://doi.org/10.1038/s41560-025-01844-3",
"journal": "Nature Energy",
"year": 2025,
"authors": "Rajaeifar, M.; Müller, D.; Hanton, M.; Heidrich, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Interdependence and the low-carbon energy transition",
"doi": "10.1038/s41560-025-01762-4",
"url": "https://doi.org/10.1038/s41560-025-01762-4",
"journal": "Nature Energy",
"year": 2025,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Converting methane into carbon nanotubes and hydrogen in a continuous flow reactor",
"doi": "10.1038/s41560-025-01926-2",
"url": "https://doi.org/10.1038/s41560-025-01926-2",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Combining the use of CO2 and H2 networks benefits carbon management in Europe",
"doi": "10.1038/s41560-025-01753-5",
"url": "https://doi.org/10.1038/s41560-025-01753-5",
"journal": "Nature Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Biomass exclusion must be weighed against benefits of carbon supply in European energy system",
"doi": "10.1038/s41560-024-01685-6",
"url": "https://doi.org/10.1038/s41560-024-01685-6",
"journal": "Nature Energy",
"year": 2025,
"authors": "Millinger, M.; Hedenus, F.; Zeyen, E.; Neumann, F.; Reichenberg, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Feasibility of meeting future battery demand via domestic cell production in Europe",
"doi": "10.1038/s41560-025-01722-y",
"url": "https://doi.org/10.1038/s41560-025-01722-y",
"journal": "Nature Energy",
"year": 2025,
"authors": "Link, S.; Schneider, L.; Stephan, A.; Weymann, L.; Plötz, P.",
"abstract": "Abstract\n Batteries are critical to mitigate global warming, with battery electric vehicles as the backbone of low-carbon transport and the main driver of advances and demand for battery technology. However, the future demand and production of batteries remain uncertain, while the ambition to strengthen national capabilities and self-sufficiency is gaining momentum. In this study, leveraging probabilistic modelling, we assessed Europe’s capability to meet its future demand for high-ener",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Policymakers and academics envision energy demand reductions beyond typical policies in the United Kingdom",
"doi": "10.1038/s41560-025-01897-4",
"url": "https://doi.org/10.1038/s41560-025-01897-4",
"journal": "Nature Energy",
"year": 2025,
"authors": "Sharmina, M.; Broad, O.; Barrett, J.; Brand, C.; Garvey, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Policymaker-led scenarios and public dialogue facilitate energy demand analysis for net-zero futures",
"doi": "10.1038/s41560-025-01898-3",
"url": "https://doi.org/10.1038/s41560-025-01898-3",
"journal": "Nature Energy",
"year": 2025,
"authors": "Sharmina, M.; Broad, O.; Barrett, J.; Brand, C.; Garvey, A.",
"abstract": "Abstract\n Demand-side energy reductions have so far received less policy support than supply-side net-zero technologies. Here we undertake a demand-focused process for energy scenario analysis, led by policymakers and evaluated through public dialogue. We codesign, describe and model four societal futures that aim to achieve the UK’s 2050 net-zero target. The uniquely close involvement of policymakers leading the project generates markedly different narratives that reflect polic",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Demand-side strategies enable rapid and deep cuts in buildings and transport emissions to 2050",
"doi": "10.1038/s41560-025-01703-1",
"url": "https://doi.org/10.1038/s41560-025-01703-1",
"journal": "Nature Energy",
"year": 2025,
"authors": "van Heerden, R.; Edelenbosch, O.; Daioglou, V.; Le Gallic, T.; Baptista, L.",
"abstract": "Abstract\n Decarbonization of energy-using sectors is essential for tackling climate change. We use an ensemble of global integrated assessment models to assess CO2 emissions reduction potentials in buildings and transport, accounting for system interactions. We focus on three intervention strategies with distinct emphases: reducing or changing activity, improving technological efficiency and electrifying energy end use. We find that these strategies can reduce emissions by 51–85% in bui",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Demand-side policies can significantly reduce emissions from energy use in buildings and transport",
"doi": "10.1038/s41560-025-01721-z",
"url": "https://doi.org/10.1038/s41560-025-01721-z",
"journal": "Nature Energy",
"year": 2025,
"authors": "van Heerden, R.; Edelenbosch, O.; Daioglou, V.; Le Gallic, T.; Baptista, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Deploying photovoltaic systems in global open-pit mines for a clean energy transition",
"doi": "10.1038/s41893-025-01594-w",
"url": "https://doi.org/10.1038/s41893-025-01594-w",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Wang, K.; Zhou, J.; Yang, R.; Xu, S.; Hu, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Harvesting intermittent energy",
"doi": "10.1038/s41893-025-01709-3",
"url": "https://doi.org/10.1038/s41893-025-01709-3",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Zlatar, M.; Priamushko, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Clean energy straight from space",
"doi": "10.1038/s41893-025-01742-2",
"url": "https://doi.org/10.1038/s41893-025-01742-2",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Smirnova, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Collaborative energy and land use planning",
"doi": "10.1038/s41893-025-01580-2",
"url": "https://doi.org/10.1038/s41893-025-01580-2",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "McCollum, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Oil and gas industry’s marginal share of global renewable energy",
"doi": "10.1038/s41893-025-01647-0",
"url": "https://doi.org/10.1038/s41893-025-01647-0",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Llavero-Pasquina, M.; Bontempi, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Strategizing renewable energy transitions to preserve sediment transport integrity",
"doi": "10.1038/s41893-025-01626-5",
"url": "https://doi.org/10.1038/s41893-025-01626-5",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Xu, B.; Liu, Z.; Yan, S.; Schmitt, R.; He, X.",
"abstract": "Abstract\n Hydropower is vital for climate mitigation by enabling low-carbon energy systems, but hydropower dams also trap sediment, a crucial resource for ecosystems and climate adaptation along downstream coastlines. Here we present a multisectoral integrated water–sediment–energy planning framework that fully internalizes the impacts of hydropower expansion, both on energy system costs and on foregone ecosystem services from reduced sediment supply for the Mekong River Basin. ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy- and cost-efficient CO2 capture from dilute emissions by pyridinic-graphene membranes",
"doi": "10.1038/s41893-025-01696-5",
"url": "https://doi.org/10.1038/s41893-025-01696-5",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Micari, M.; Hsu, K.; Bempeli, S.; Agrawal, K.",
"abstract": "Abstract\n \n Membrane-based carbon capture offers an energy-efficient and environmentally friendly alternative to conventional absorption-based processes, yet adoption remains limited by its performance with dilute CO\n 2\n sources such as natural gas power plants. Here we present a techno-economic assessment of pyridinic-graphene membranes—porous graphene membranes hosting pyridinic nitrogen—that yield increasingly high CO\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The future of large-scale solar interfacial desalination",
"doi": "10.1038/s41893-024-01497-2",
"url": "https://doi.org/10.1038/s41893-024-01497-2",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "3D printing of organogel solar evaporators",
"doi": "10.1038/s41893-025-01741-3",
"url": "https://doi.org/10.1038/s41893-025-01741-3",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Zhang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar-enhanced biological wastewater treatment",
"doi": "10.1038/s41893-025-01587-9",
"url": "https://doi.org/10.1038/s41893-025-01587-9",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Wang, W.; Huang, Y.; Wang, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Synergies and trade-offs of multi-use solar landscapes",
"doi": "10.1038/s41893-025-01600-1",
"url": "https://doi.org/10.1038/s41893-025-01600-1",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Merheb, C.; Macknick, J.; Davatzes, N.; Ravi, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Large-scale implementation of solar interfacial desalination",
"doi": "10.1038/s41893-024-01485-6",
"url": "https://doi.org/10.1038/s41893-024-01485-6",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Chen, Y.; Shen, L.; Qi, Z.; Luo, Z.; Li, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Revealing building operating carbon dynamics for multiple cities",
"doi": "10.1038/s41893-025-01615-8",
"url": "https://doi.org/10.1038/s41893-025-01615-8",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Yap, W.; Wu, A.; Miller, C.; Biljecki, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Housing exchange framework to reduce carbon emissions from commuting",
"doi": "10.1038/s41893-025-01658-x",
"url": "https://doi.org/10.1038/s41893-025-01658-x",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Zhao, J.; Mo, B.; Caros, N.; Zhao, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Embodied emissions of chemicals within the EU Carbon Border Adjustment Mechanism",
"doi": "10.1038/s41893-025-01618-5",
"url": "https://doi.org/10.1038/s41893-025-01618-5",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Minten, H.; Hausweiler, J.; Probst, B.; Reinert, C.; Meys, R.",
"abstract": "Abstract\n The European Union’s Carbon Border Adjustment Mechanism (CBAM) aims to avoid carbon leakage by pricing the production emissions of imported goods. Currently, the CBAM applies to iron and steel, cement, aluminium, fertilizers, electricity and hydrogen. As the European Union considers extending the CBAM to chemicals by 2030, its effectiveness in this complex industry remains uncertain. Here we assess how well the CBAM would capture emissions in the chemical industry by u",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global hotspots of industrial chlorinated and brominated polycyclic aromatic hydrocarbon emissions",
"doi": "10.1038/s41893-025-01666-x",
"url": "https://doi.org/10.1038/s41893-025-01666-x",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Synergistic gas–slag scheme to mitigate CO2 emissions from the steel industry",
"doi": "10.1038/s41893-025-01572-2",
"url": "https://doi.org/10.1038/s41893-025-01572-2",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Di, Z.; Wang, Y.; Chang, C.; Song, H.; Lu, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global industrial emissions of chlorinated and brominated polycyclic aromatic hydrocarbons",
"doi": "10.1038/s41893-025-01656-z",
"url": "https://doi.org/10.1038/s41893-025-01656-z",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Yang, Y.; Liu, Y.; Yu, Z.; Zhu, G.; Lin, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Publisher Correction: Strategizing renewable energy transitions to preserve sediment transport integrity",
"doi": "10.1038/s41893-025-01673-y",
"url": "https://doi.org/10.1038/s41893-025-01673-y",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Xu, B.; Liu, Z.; Yan, S.; Schmitt, R.; He, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A database for identifying and tracking renewable energy embodied in global trade",
"doi": "10.1038/s41893-025-01614-9",
"url": "https://doi.org/10.1038/s41893-025-01614-9",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Yang, Y.; Cheng, Y.; Poon, J.; Zhou, Y.; Qian, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Decarbonization and electricity price vulnerability",
"doi": "10.1038/s41893-024-01502-8",
"url": "https://doi.org/10.1038/s41893-024-01502-8",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Bajo-Buenestado, R.; Bento, A.; Kaffine, D.; Marmarelis, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Effects of demand and recycling on the when and where of lithium extraction",
"doi": "10.1038/s41893-025-01561-5",
"url": "https://doi.org/10.1038/s41893-025-01561-5",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Busch, P.; Chen, Y.; Ogbonna, P.; Kendall, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electrochemical lithium recycling from spent batteries with electricity generation",
"doi": "10.1038/s41893-024-01505-5",
"url": "https://doi.org/10.1038/s41893-024-01505-5",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Wang, W.; Liu, Z.; Zhu, Z.; Ma, Y.; Zhang, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Economic costs of wind erosion in the United States",
"doi": "10.1038/s41893-024-01506-4",
"url": "https://doi.org/10.1038/s41893-024-01506-4",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Feng, I.; Gill, T.; Van Pelt, R.; Webb, N.; Tong, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Price sensitivity to precipitation and water storage in California",
"doi": "10.1038/s41893-025-01659-w",
"url": "https://doi.org/10.1038/s41893-025-01659-w",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Turland, M.; Carter, C.; Gafarov, B.; Hilscher, J.; Jessoe, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Combining water and carbon footprint",
"doi": "10.1038/s41893-025-01746-y",
"url": "https://doi.org/10.1038/s41893-025-01746-y",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Alamanos, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon-efficient synthesis",
"doi": "10.1038/s41893-025-01731-5",
"url": "https://doi.org/10.1038/s41893-025-01731-5",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Ye, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Plastics in the marine carbon cycle",
"doi": "10.1038/s41893-025-01640-7",
"url": "https://doi.org/10.1038/s41893-025-01640-7",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Stubbins, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon conflicts in ocean fisheries",
"doi": "10.1038/s41893-025-01737-z",
"url": "https://doi.org/10.1038/s41893-025-01737-z",
"journal": "Nature Sustainability",
"year": 2025,
"authors": "Olen, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Observing time-dependent energy level renormalisation in an ultrastrongly coupled open system",
"doi": "10.1038/s41467-025-57840-4",
"url": "https://doi.org/10.1038/s41467-025-57840-4",
"journal": "Nature Communications",
"year": 2025,
"authors": "Colla, A.; Hasse, F.; Palani, D.; Schaetz, T.; Breuer, H.",
"abstract": "Abstract\n Understanding how strong coupling and memory effects influence energy levels in open quantum systems is a fundamental challenge. Here, we experimentally probe these effects in a two-level open system coupled to a single-mode quantum environment, using Ramsey interferometry in a trapped ion. Operating in the strong coupling regime, we observe both dissipative effects and time-dependent energy shifts of up to 15% of the bare system frequency, with the total system effectively is",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Improved silicon solar cells by tuning angular response to solar trajectory",
"doi": "10.1038/s41467-024-55681-1",
"url": "https://doi.org/10.1038/s41467-024-55681-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Green, M.; Zhou, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Quantifying the pyroelectric and photovoltaic coupling series of ferroelectric films",
"doi": "10.1038/s41467-025-56233-x",
"url": "https://doi.org/10.1038/s41467-025-56233-x",
"journal": "Nature Communications",
"year": 2025,
"authors": "Hu, C.; Liu, X.; Dan, H.; Guo, C.; Zhang, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A pathway to coexistence of electroluminescence and photovoltaic conversion in organic devices",
"doi": "10.1038/s41467-025-67332-0",
"url": "https://doi.org/10.1038/s41467-025-67332-0",
"journal": "Nature Communications",
"year": 2025,
"authors": "Oono, T.; Aoki, Y.; Sasaki, T.; Shoji, H.; Okada, T.",
"abstract": "Abstract\n Achieving both high electroluminescence (EL) efficiency and power conversion efficiency (PCE) in a single organic device has long been considered difficult, since the design principles optimising one often compromise the other. In this study, we present a strategy employing multiple-resonance thermally activated delayed fluorescence materials with strong absorption and high emission efficiency, enabling coexistence of high EL and photovoltaic (PV) efficiencies. By prec",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Nonlinear photovoltaic effects in monolayer semiconductor and layered magnetic material hetero-interface with P- and T-symmetry broken system",
"doi": "10.1038/s41467-025-58918-9",
"url": "https://doi.org/10.1038/s41467-025-58918-9",
"journal": "Nature Communications",
"year": 2025,
"authors": "Asada, S.; Shinokita, K.; Watanabe, K.; Taniguchi, T.; Matsuda, K.",
"abstract": "Abstract\n Stacking two non-polar materials with different inversion- and rotational-symmetries shows unique nonlinear photovoltaic properties, with potential applications such as in next generation solar-cells. These nonlinear photocurrent properties could be further extended with broken time reversal symmetry present in magnetic materials, however, the combination of time reversal and rotation symmetry breaking has not been fully explored. Herein, we investigate the nonlinear photovolt",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Fast-switching dual-cathode electrochromic smart windows for year-round building energy savings",
"doi": "10.1038/s41467-025-64962-2",
"url": "https://doi.org/10.1038/s41467-025-64962-2",
"journal": "Nature Communications",
"year": 2025,
"authors": "Sun, F.; Pal, R.; Eom, S.; Choi, J.; Zhang, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Revealing the interplay between decarbonisation, circularity, and cost-effectiveness in building energy renovation",
"doi": "10.1038/s41467-025-62442-1",
"url": "https://doi.org/10.1038/s41467-025-62442-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhang, C.; Hu, M.; Sprecher, B.; Sacchi, R.; Yang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Recyclable quasi-solid-state dynamic windows via reversible dual-metal electrodeposition for building energy modulation",
"doi": "10.1038/s41467-025-66963-7",
"url": "https://doi.org/10.1038/s41467-025-66963-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Xu, B.; Wu, W.; Zhang, Y.; Qiu, C.; Zhu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Urban and non-urban contributions to the social cost of carbon",
"doi": "10.1038/s41467-025-59466-y",
"url": "https://doi.org/10.1038/s41467-025-59466-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Estrada, F.; Lupi, V.; Botzen, W.; Tol, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Unused housing in urban China and its carbon emission impact",
"doi": "10.1038/s41467-025-57217-7",
"url": "https://doi.org/10.1038/s41467-025-57217-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zheng, H.; Zhang, R.; Yin, X.; Wu, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon trade biases and the emerging mesoscale structure of the European Emissions Trading System network",
"doi": "10.1038/s41467-025-59913-w",
"url": "https://doi.org/10.1038/s41467-025-59913-w",
"journal": "Nature Communications",
"year": 2025,
"authors": "Flori, A.; Spelta, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessment of carbon-abatement pricing to maximize the value of electrolytic hydrogen in emissions-intensive power sectors",
"doi": "10.1038/s41467-025-62952-y",
"url": "https://doi.org/10.1038/s41467-025-62952-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Okunlola, A.; Davis, M.; Kumar, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emerging green steel markets surrounding the EU emissions trading system and carbon border adjustment mechanism",
"doi": "10.1038/s41467-025-64440-9",
"url": "https://doi.org/10.1038/s41467-025-64440-9",
"journal": "Nature Communications",
"year": 2025,
"authors": "Johnson, C.; Åhman, M.; Nilsson, L.; Li, Z.",
"abstract": "Abstract\n The global steel industry accounts for 8–10 % of global CO2 emissions and requires deep decarbonisation for achieving the targets set in the Paris Agreement. However, no low-emission primary steel production technology has yet been commercially feasible or deployed. Through analysing revisions and additions of European Union climate policy, we show that green hydrogen-based steelmaking in competitive locations achieves cost-competitiveness on the European market starting 2026.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "The importance of multiregional accounting for corporate carbon emissions",
"doi": "10.1038/s41467-025-67759-5",
"url": "https://doi.org/10.1038/s41467-025-67759-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Davis, S.; Dumit, A.; Li, M.; Maldonado, Y.; Steffen, M.",
"abstract": "Abstract\n \n Corporations routinely use environmentally-extended input-output models to estimate and report greenhouse gas emissions upstream in their supply chains. However, the most widely used models assume that supply chains and emissions intensities of industries match those of a single region—usually the U.S. or the U.K. Here, we use a high-resolution multiregional input-output model to demonstrate the scale and pattern of emissions that may be missed by ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Potential of artificial intelligence in reducing energy and carbon emissions of commercial buildings at scale",
"doi": "10.1038/s41467-025-63487-y",
"url": "https://doi.org/10.1038/s41467-025-63487-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Ding, C.; Ke, J.; Levine, M.; Granderson, J.; Zhou, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Arctic Sea Route access reshapes global shipping carbon emissions",
"doi": "10.1038/s41467-025-64437-4",
"url": "https://doi.org/10.1038/s41467-025-64437-4",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhao, P.; Li, Y.; Zhang, C.; Kang, T.; He, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Biomass carbon emissions from nickel mining have significant implications for climate action",
"doi": "10.1038/s41467-024-55703-y",
"url": "https://doi.org/10.1038/s41467-024-55703-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Mervine, E.; Valenta, R.; Paterson, J.; Mudd, G.; Werner, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying the shift of public export finance from fossil fuels to renewable energy",
"doi": "10.1038/s41467-025-55981-0",
"url": "https://doi.org/10.1038/s41467-025-55981-0",
"journal": "Nature Communications",
"year": 2025,
"authors": "Censkowsky, P.; Waidelich, P.; Shishlov, I.; Steffen, B.",
"abstract": "Abstract\n By providing guarantees and direct lending, public export credit agencies (ECAs) de-risk and thus enable energy projects worldwide. Despite their importance for global greenhouse gas emission pathways, a systematic assessment of ECAs’ role and financing patterns in the low-carbon energy transition is still needed. Using commercial transaction data, here we analyze 921 energy deals backed by ECAs from 31 OECD and non-OECD countries (excluding Canada) between 2013 and 2023. We f",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Uneven renewable energy supply constrains the decarbonization effects of excessively deployed hydrogen-based DRI technology",
"doi": "10.1038/s41467-025-59730-1",
"url": "https://doi.org/10.1038/s41467-025-59730-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Wang, Y.; Chen, C.; Tao, Y.; Wen, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying cascading power outages during climate extremes considering renewable energy integration",
"doi": "10.1038/s41467-025-57565-4",
"url": "https://doi.org/10.1038/s41467-025-57565-4",
"journal": "Nature Communications",
"year": 2025,
"authors": "Xu, L.; Lin, N.; Poor, H.; Xi, D.; Perera, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying the trade-offs between renewable energy visibility and system costs",
"doi": "10.1038/s41467-025-59029-1",
"url": "https://doi.org/10.1038/s41467-025-59029-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Tsani, T.; Pelser, T.; Ioannidis, R.; Maier, R.; Chen, R.",
"abstract": "Abstract\n Visual landscape impacts on scenic and populated places are among significant factors affecting local acceptance of large-scale renewable energy projects. Through the combination of large-scale reverse viewshed and techno-economic energy system analyses, we assess their potential impacts for nationwide energy systems. In our case study of Germany, moderate consideration of visual impact by placing renewables out of sight of the most scenic and densely populated areas d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global potential of sustainable single-cell protein based on variable renewable electricity",
"doi": "10.1038/s41467-025-56364-1",
"url": "https://doi.org/10.1038/s41467-025-56364-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Fasihi, M.; Jouzi, F.; Tervasmäki, P.; Vainikka, P.; Breyer, C.",
"abstract": "Abstract\n The environmental impacts of the food system exceed several planetary boundaries, with protein production being a major contributor. Single-Cell Protein (SCP) is a protein-rich microbial biomass that offers a sustainable alternative when derived from renewable energy and sustainable feedstocks. We evaluate the global potential for SCP production utilising electrolytic hydrogen and oxygen, atmospheric carbon dioxide and nitrogen, and hourly-optimised hybrid PV-wind power plants",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Gram-scale selective telomerization of isoprene and CO2 toward 100% renewable materials",
"doi": "10.1038/s41467-025-62409-2",
"url": "https://doi.org/10.1038/s41467-025-62409-2",
"journal": "Nature Communications",
"year": 2025,
"authors": "Lutz, M.; Kracht, F.; Marumoto, K.; Nozaki, K.",
"abstract": "Abstract\n Carbon dioxide (CO2) is an ideal chemical feedstock due to its abundance, low cost, low toxicity and its role as a greenhouse gas. Telomerization with butadiene give rise to functional small molecules and polymers with significant CO2 content, but the fossil origin of the olefin offsets sustainability benefits. Here, we present a palladium-catalyzed telomerization of CO2 with isoprene, two of the most prevalent organic compounds in the atmosphere, yielding “COOIL”, an ideally ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Spatiotemporal assessment of renewable adequacy during diverse extreme weather events in China",
"doi": "10.1038/s41467-025-60264-9",
"url": "https://doi.org/10.1038/s41467-025-60264-9",
"journal": "Nature Communications",
"year": 2025,
"authors": "Jiang, K.; Liu, N.; Wang, K.; Chen, Y.; Wang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CO-promoted polyethylene hydrogenolysis with renewable formic acid as hydrogen donor",
"doi": "10.1038/s41467-025-63189-5",
"url": "https://doi.org/10.1038/s41467-025-63189-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Wang, Y.; Hu, Q.; Qian, S.; Zhao, J.; Cheng, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Temporal matching as an accounting principle for green electricity claims",
"doi": "10.1038/s41467-025-65125-z",
"url": "https://doi.org/10.1038/s41467-025-65125-z",
"journal": "Nature Communications",
"year": 2025,
"authors": "Scholta, H.; Blaschke, M.",
"abstract": "Abstract\n Labeling electricity as green typically relies on annual volumetric matching of certificates. Recent studies have shown that hourly matching can improve the environmental effectiveness of green electricity procurement. Responding to the European Union’s push for more transparent and reliable green products, we assess how stricter temporal matching affects green electricity claims. Using data from the European certificate and electricity market, we analyze quarterly, monthly, w",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Solvent-regulable interfacial groups enable on-demand superhydrophobic/superhydrophilic silica aerogels",
"doi": "10.1038/s41467-025-57246-2",
"url": "https://doi.org/10.1038/s41467-025-57246-2",
"journal": "Nature Communications",
"year": 2025,
"authors": "Chen, L.; Li, L.; Zhang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Efficiency optimization for large-scale droplet-based electricity generator arrays with integrated microsupercapacitor arrays",
"doi": "10.1038/s41467-025-64289-y",
"url": "https://doi.org/10.1038/s41467-025-64289-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Li, Z.; Chen, S.; Fu, Y.; Li, J.",
"abstract": "Abstract\n Droplet-based electricity generators are lightweight and nearly metal-free, making them promising for hydraulic power applications. However, two critical challenges hinder their practical application: significant performance degradation, potentially up to 90%, in existing small-scale integrated panels, and low efficiency, often less than 2%, in storing the irregular high-voltage pulsed electricity produced by large-scale arrays. Here, we demonstrate that by tailoring the botto",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ion-engine hydrogel based solar desalination for water-electricity cogeneration with milliampere level current",
"doi": "10.1038/s41467-025-65280-3",
"url": "https://doi.org/10.1038/s41467-025-65280-3",
"journal": "Nature Communications",
"year": 2025,
"authors": "Chen, Y.; Ye, C.; He, J.; Qu, L.; Tang, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Quantifying the global climate feedback from energy-based adaptation",
"doi": "10.1038/s41467-025-59201-7",
"url": "https://doi.org/10.1038/s41467-025-59201-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Abajian, A.; Carleton, T.; Meng, K.; Deschênes, O.",
"abstract": "Abstract\n Many behavioral responses to climate change are carbon-intensive, raising concerns that adaptation may cause additional warming. The sign and magnitude of this feedback depend on how increased emissions from cooling balance against reduced emissions from heating across space and time. We present an empirical approach that forecasts the effect of future adaptive energy use on global average temperature over the 21st century. We estimate that energy-based adaptation will lower g",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy and climate policy implications on the deployment of low-carbon ammonia technologies",
"doi": "10.1038/s41467-025-56006-6",
"url": "https://doi.org/10.1038/s41467-025-56006-6",
"journal": "Nature Communications",
"year": 2025,
"authors": "Chyong, C.; Italiani, E.; Kazantzis, N.",
"abstract": "Abstract\n \n The economic feasibility of low-carbon ammonia production pathways, such as steam methane reforming with carbon capture and storage, biomass gasification, and electrolysis, is assessed under various policy frameworks, including subsidies, carbon pricing, and renewable hydrogen regulations. Here, we show that employing a stochastic techno-economic analysis at the plant level and a net present value approach under the US Inflation Reduction Act revea",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Critical mineral constraints pressure energy transition and trade toward the Paris Agreement climate goals",
"doi": "10.1038/s41467-025-59741-y",
"url": "https://doi.org/10.1038/s41467-025-59741-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Shi, H.; Heng, J.; Duan, H.; Li, H.; Chen, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Speed modulations in grid cell information geometry",
"doi": "10.1038/s41467-025-62856-x",
"url": "https://doi.org/10.1038/s41467-025-62856-x",
"journal": "Nature Communications",
"year": 2025,
"authors": "Ye, Z.; Wessel, R.",
"abstract": "Abstract\n Grid cells, with hexagonal spatial firing patterns, are thought critical to the brain’s spatial representation. High-speed movement challenges accurate localization as self-location constantly changes. Previous studies of speed modulation focus on individual grid cells, yet population-level noise covariance can significantly impact information coding. Here, we introduce a Gaussian Process with Kernel Regression (GKR) method to study neural population representation geo",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid congestion stymies climate benefit from U.S. vehicle electrification",
"doi": "10.1038/s41467-025-61976-8",
"url": "https://doi.org/10.1038/s41467-025-61976-8",
"journal": "Nature Communications",
"year": 2025,
"authors": "Duan, C.; Motter, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "China’s urban EV ultra-fast charging distorts regulated price signals and elevates risk to grid stability",
"doi": "10.1038/s41467-025-63199-3",
"url": "https://doi.org/10.1038/s41467-025-63199-3",
"journal": "Nature Communications",
"year": 2025,
"authors": "Yu, Q.; Zhao, P.; Li, J.; Wang, H.; Yan, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Isotope-driven hydrogel smart windows for self-adaptive thermoregulation",
"doi": "10.1038/s41467-025-62432-3",
"url": "https://doi.org/10.1038/s41467-025-62432-3",
"journal": "Nature Communications",
"year": 2025,
"authors": "Tu, H.; Wang, T.; Chen, M.; Wu, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Entorhinal grid-like codes for visual space during memory formation",
"doi": "10.1038/s41467-025-64307-z",
"url": "https://doi.org/10.1038/s41467-025-64307-z",
"journal": "Nature Communications",
"year": 2025,
"authors": "Graichen, L.; Linder, M.; Keuter, L.; Jensen, O.; Doeller, C.",
"abstract": "Abstract\n Eye movements, such as saccades, allow us to gather information about the environment and, in this way, can shape memory. In non-human primates, saccades are associated with the activity of grid cells in the entorhinal cortex. Grid cells are essential for spatial navigation, but whether saccade-based grid-like signals play a role in human memory formation is currently unclear. Here, human participants undergo functional magnetic resonance imaging and continuous eye gaz",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cascading marginal emissions signals for green charging with growing electric vehicle adoption",
"doi": "10.1038/s41467-025-64979-7",
"url": "https://doi.org/10.1038/s41467-025-64979-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Martin, S.; Powell, S.; Rajagopal, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Planning the electric vehicle transition by integrating spatial information and social networks",
"doi": "10.1038/s41467-025-66072-5",
"url": "https://doi.org/10.1038/s41467-025-66072-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Wu, J.; Salgado, A.; González, M.",
"abstract": "Abstract\n The transition from gasoline-powered vehicles to plug-in electric vehicles (PEVs) offers a promising pathway for reducing greenhouse gas emissions. Spatial forecasts of PEV adoption are essential to support power grid adaptation, yet forecasting is hindered by limited data at this early stage of adoption. While different model calibrations can replicate current trends, they often yield divergent forecasts. Using empirical data from states with the highest levels of ado",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The urgent electrolyte sustainability challenges for electric vehicle batteries",
"doi": "10.1038/s41467-025-60711-7",
"url": "https://doi.org/10.1038/s41467-025-60711-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Burton, T.; Gómez Urbano, J.; Zhu, Y.; Balducci, A.; Fontaine, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Author Correction: Electric vehicle battery chemistry affects supply chain disruption vulnerabilities",
"doi": "10.1038/s41467-025-61370-4",
"url": "https://doi.org/10.1038/s41467-025-61370-4",
"journal": "Nature Communications",
"year": 2025,
"authors": "Cheng, A.; Fuchs, E.; Karplus, V.; Michalek, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Deep learning predicts real-world electric vehicle direct current charging profiles and durations",
"doi": "10.1038/s41467-025-65970-y",
"url": "https://doi.org/10.1038/s41467-025-65970-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Li, S.; Zhang, M.; Doel, R.; Ross, B.; Piggott, M.",
"abstract": "Abstract\n Accurate prediction of electric vehicle charging profiles and durations is critical for adoption and optimising infrastructure. Direct current fast charging presents complex behaviours shaped by many factors. This work introduces a deep learning framework trained on 909,135 real-world sessions, capable of predicting charging profiles and durations from minimal input with uncertainty estimates. The model initiates predictions from a single point on the power and state-o",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Lithium-ion battery recycling relieves the threat to material scarcity amid China’s electric vehicle ambitions",
"doi": "10.1038/s41467-025-61481-y",
"url": "https://doi.org/10.1038/s41467-025-61481-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhang, B.; Xin, Q.; Chen, S.; Wang, B.; Li, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Equity and reliability of public electric vehicle charging stations in the United States",
"doi": "10.1038/s41467-025-60091-y",
"url": "https://doi.org/10.1038/s41467-025-60091-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Yu, Q.; Que, T.; Cushing, L.; Pierce, G.; Shen, K.",
"abstract": "Abstract\n Equitable coverage and reliable operation of electric vehicle charging stations (EVCSs) are crucial for a just transition to a carbon-free future. Yet, a comprehensive national analysis of public EVCSs across different communities is lacking in the United States. Here, we utilize real-world reviews (n = 470,142) from a user-generated content platform to analyze public EVCSs at the census tract level. We find that disadvantaged communities (DACs) have 64% fewer public EVCSs per",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Finding gaps in the national electric vehicle charging station coverage of the United States",
"doi": "10.1038/s41467-024-55696-8",
"url": "https://doi.org/10.1038/s41467-024-55696-8",
"journal": "Nature Communications",
"year": 2025,
"authors": "Hanig, L.; Ledna, C.; Nock, D.; Harper, C.; Yip, A.",
"abstract": "Abstract\n The United States federal government has invested $7.5 billion into charging infrastructure, including the National Electric Vehicle Infrastructure Program, to build fast charging stations along designated highways for long-distance car travel. We develop a consecutive coverage metric to compute the percent of United States roads (traffic-weighted) that are consecutively accessible within 500 miles of each county. We answer (1) what the state of consecutive coverage is in each",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multi-modal framework for battery state of health evaluation using open-source electric vehicle data",
"doi": "10.1038/s41467-025-56485-7",
"url": "https://doi.org/10.1038/s41467-025-56485-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Liu, H.; Li, C.; Hu, X.; Li, J.; Zhang, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Increasing extreme winds challenge offshore wind energy resilience",
"doi": "10.1038/s41467-025-65105-3",
"url": "https://doi.org/10.1038/s41467-025-65105-3",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhao, Y.; Tao, Y.; Chen, Y.; Yan, J.; Zeng, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dust, sand and wind drive slope streaks on Mars",
"doi": "10.1038/s41467-025-65522-4",
"url": "https://doi.org/10.1038/s41467-025-65522-4",
"journal": "Nature Communications",
"year": 2025,
"authors": "Bickel, V.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Atmospheric wind energization of ocean weather",
"doi": "10.1038/s41467-025-56310-1",
"url": "https://doi.org/10.1038/s41467-025-56310-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Rai, S.; Farrar, J.; Aluie, H.",
"abstract": "Abstract\n \n Ocean weather comprises vortical and straining mesoscale motions, which play fundamentally different roles in the ocean circulation and climate system. Vorticity determines the movement of major ocean currents and gyres. Strain contributes to frontogenesis and the deformation of water masses, driving much of the mixing and vertical transport in the upper ocean. While recent studies have shown that interactions with the atmosphere damp the ocean’s m",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cost-competitive offshore wind-powered green methanol production for maritime transport decarbonization",
"doi": "10.1038/s41467-025-60608-5",
"url": "https://doi.org/10.1038/s41467-025-60608-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Du, Y.; Shen, X.; Kammen, D.; Ding, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution",
"doi": "10.1038/s41467-025-56005-7",
"url": "https://doi.org/10.1038/s41467-025-56005-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Duan, J.; Li, Y.; Lyu, Y.; Jing, Z.; Wang, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A machine learning model for hub-height short-term wind speed prediction",
"doi": "10.1038/s41467-025-58456-4",
"url": "https://doi.org/10.1038/s41467-025-58456-4",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhang, Z.; Lin, L.; Gao, S.; Wang, J.; Zhao, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Trends in vertical wind velocity variability reveal cloud microphysical feedback",
"doi": "10.1038/s41467-025-67541-7",
"url": "https://doi.org/10.1038/s41467-025-67541-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Barahona, D.; Breen, K.; Ngo, D.; Maciel, F.; Patnaude, R.",
"abstract": "Abstract\n \n By controlling supersaturation vertical air motion influences how aerosols activate into cloud droplets and ice crystals. This effect is difficult to represent accurately in atmospheric models as they cannot typically resolve the sub-kilometer scale component of wind motion, however it can be addressed by machine learning. Here we apply a generative technique combining storm-resolving simulations, observational and climate reanalysis data, to predi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Weather & Meteorological Data",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Detecting and calibrating large biases in global onshore wind power assessment across temporal scales",
"doi": "10.1038/s41467-025-59195-2",
"url": "https://doi.org/10.1038/s41467-025-59195-2",
"journal": "Nature Communications",
"year": 2025,
"authors": "Hou, C.; Xu, Z.; Karnauskas, K.; Huang, D.; Lu, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Engineering relaxors by embedding ultra-weak polar regions for superior energy storage",
"doi": "10.1038/s41467-025-61406-9",
"url": "https://doi.org/10.1038/s41467-025-61406-9",
"journal": "Nature Communications",
"year": 2025,
"authors": "Dong, X.; Fu, Z.; Wang, Z.; Lv, X.; Wu, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Harnessing local inhomogeneity for enhanced dielectric energy storage",
"doi": "10.1038/s41467-025-61250-x",
"url": "https://doi.org/10.1038/s41467-025-61250-x",
"journal": "Nature Communications",
"year": 2025,
"authors": "Liu, Y.; Yang, B.; Lan, S.; Zhou, Z.; Dou, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Bioinspired nondissipative mechanical energy storage and release in hydrogels via hierarchical sequentially swollen stretched chains",
"doi": "10.1038/s41467-025-59743-w",
"url": "https://doi.org/10.1038/s41467-025-59743-w",
"journal": "Nature Communications",
"year": 2025,
"authors": "Savolainen, H.; Hosseiniyan, N.; Piedrahita-Bello, M.; Ikkala, O.",
"abstract": "Abstract\n Nature suggests concepts for materials with efficient mechanical energy storage and release, i.e., resilience, involving small energy dissipation upon mechanical loading and unloading, such as in resilin and elastin. These materials facilitate burst-like movements involving high stiffness and low strain and high reversibility. Synthetic hydrogels that allow highly reversible mechanical energy storage have remained a challenge, despite mimicking biological soft tissues.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Design of hierarchical-heterostructure antiferroelectrics for ultrahigh capacitive energy storage",
"doi": "10.1038/s41467-025-65694-z",
"url": "https://doi.org/10.1038/s41467-025-65694-z",
"journal": "Nature Communications",
"year": 2025,
"authors": "Chen, L.; Hu, T.; Qi, H.; Yu, H.; Fu, Z.",
"abstract": "Abstract\n \n Electrostatic dielectric capacitors with high power density are the fundamental energy storage components in advanced electronic and electric power systems. However, simultaneously achieving ultrahigh energy density and efficiency poses a persistent challenge, preventing the capacitive applications towards miniaturization and low-energy consumption. Here we demonstrate giant energy storage properties in lead-free antiferroelectrics by designing hie",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Scenario-adaptive hierarchical optimisation framework for design in hybrid energy storage systems",
"doi": "10.1038/s41467-025-67377-1",
"url": "https://doi.org/10.1038/s41467-025-67377-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Guo, J.; Wu, H.; Ma, T.; Yin, R.; Zhou, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage",
"doi": "10.1038/s41467-025-56443-3",
"url": "https://doi.org/10.1038/s41467-025-56443-3",
"journal": "Nature Communications",
"year": 2025,
"authors": "Wang, X.; Zhang, J.; Ma, X.; Luo, H.; Liu, L.",
"abstract": "Abstract\n The high-entropy strategy has emerged as a prevalent approach to boost capacitive energy-storage performance of relaxors for advanced electrical and electronic systems. However, exploring high-performance high-entropy systems poses challenges due to the extensive compositional space. Herein, with the assistance of machine learning screening, we demonstrated a high energy-storage density of 20.7 J cm-3 with a high efficiency of 86% in a high-entropy Pb-free relaxor ceramic. A r",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Overrated energy storage performances of dielectrics seriously affected by fringing effect and parasitic capacitance",
"doi": "10.1038/s41467-025-55855-5",
"url": "https://doi.org/10.1038/s41467-025-55855-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Ding, S.; Jia, J.; Xu, B.; Dai, Z.; Wang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimizing carbon footprint in long-haul heavy-duty E-Truck transportation",
"doi": "10.1038/s41467-025-64792-2",
"url": "https://doi.org/10.1038/s41467-025-64792-2",
"journal": "Nature Communications",
"year": 2025,
"authors": "Su, J.; Lin, Q.; Chen, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "On-surface synthesis of cyclo[20]carbon and cyclo[30]carbon from cyclo[10]carbon",
"doi": "10.1038/s41467-025-66650-7",
"url": "https://doi.org/10.1038/s41467-025-66650-7",
"journal": "Nature Communications",
"year": 2025,
"authors": "Guo, Y.; Yun, Y.; Xiang, W.; Xu, G.; Sun, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Pyrogenic carbon contribution to tropical savanna soil carbon storage",
"doi": "10.1038/s41467-025-64699-y",
"url": "https://doi.org/10.1038/s41467-025-64699-y",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhou, Y.; Karp, A.; Schmidt, A.; Coetsee, C.",
"abstract": "Abstract\n \n Savannas are fire-prone ecosystems that contribute substantially to global fire emissions, but these emissions may be partly offset by deposition of fire-derived, persistent pyrogenic carbon (PyC) in soils. Although estimates of PyC contributions to soil organic carbon (SOC) storage in savanna exist, factors driving its accumulation remain unclear due to limited measurements with consistent methods. To address this, we sampled 253 sites across trop",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Unlocking global carbon reduction potential by embracing low-carbon lifestyles",
"doi": "10.1038/s41467-025-59269-1",
"url": "https://doi.org/10.1038/s41467-025-59269-1",
"journal": "Nature Communications",
"year": 2025,
"authors": "Guan, Y.; Shan, Y.; Hang, Y.; Nie, Q.; Liu, Y.",
"abstract": "Abstract\n Low-carbon lifestyles provide demand-side solutions to meet global climate targets, yet the global carbon-saving potential of consumer-led abatement actions remains insufficiently researched. Here, we quantify the greenhouse gas emissions reduction potential of 21 low-carbon expenditures using a global multi-regional input-output model linked with detailed household expenditure data. Targeting households exceeding the global per-capita average required to stay below 2 degrees,",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Ultra-low power-consumption OLEDs via phosphor-assisted thermally-activated-delayed-fluorescence-sensitized narrowband emission",
"doi": "10.1038/s41467-024-55564-5",
"url": "https://doi.org/10.1038/s41467-024-55564-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Yin, C.; Xin, Y.; Huang, T.; Zhang, Q.; Duan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Temperate forests can deliver future wood demand and climate-change mitigation dependent on afforestation and circularity",
"doi": "10.1038/s41467-025-58463-5",
"url": "https://doi.org/10.1038/s41467-025-58463-5",
"journal": "Nature Communications",
"year": 2025,
"authors": "Forster, E.; Styles, D.; Healey, J.",
"abstract": "Abstract\n \n Global wood demand is expected to rise but supply capacity is questioned due to limited forest resources. Additionally, the global warming potential (GWP) impact of increased wood supply and use is not well understood. We propose a framework combining forest carbon modelling and dynamic consequential life-cycle assessment to evaluate this impact. Applying it to generic temperate forest, we show that afforestation to double productive forest area co",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On-demand, readily degradable Poly-2,3-dihydrofuran enabled by anion-binding catalytic copolymerization",
"doi": "10.1038/s41467-025-59834-8",
"url": "https://doi.org/10.1038/s41467-025-59834-8",
"journal": "Nature Communications",
"year": 2025,
"authors": "Zhang, Z.; Lv, W.; Li, M.; Wang, Y.; Wang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Trade risks to energy security in net-zero emissions energy scenarios",
"doi": "10.1038/s41558-025-02305-1",
"url": "https://doi.org/10.1038/s41558-025-02305-1",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Cheng, J.; Tong, D.; Zhao, H.; Xu, R.; Qin, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Decarbonization can improve energy security",
"doi": "10.1038/s41558-025-02317-x",
"url": "https://doi.org/10.1038/s41558-025-02317-x",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Samaras, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Wind droughts threaten energy reliability",
"doi": "10.1038/s41558-025-02383-1",
"url": "https://doi.org/10.1038/s41558-025-02383-1",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Haupt, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Avoiding misuses of energy-economic modelling in climate policymaking",
"doi": "10.1038/s41558-025-02280-7",
"url": "https://doi.org/10.1038/s41558-025-02280-7",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Kaufman, N.; Bataille, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Deforestation-induced emissions from mining energy transition minerals",
"doi": "10.1038/s41558-025-02520-w",
"url": "https://doi.org/10.1038/s41558-025-02520-w",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Quan, Y.; Tan-Soo, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Africa must lead the governance of solar radiation management",
"doi": "10.1038/s41558-025-02420-z",
"url": "https://doi.org/10.1038/s41558-025-02420-z",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Quagraine, K.; Abiodun, B.; Essien-Baidoo, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Emissions reductions of rooftop solar are overstated by approaches that inadequately capture substitution effects",
"doi": "10.1038/s41558-025-02459-y",
"url": "https://doi.org/10.1038/s41558-025-02459-y",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Bistline, J.; Watten, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Worldwide rooftop photovoltaic electricity generation may mitigate global warming",
"doi": "10.1038/s41558-025-02276-3",
"url": "https://doi.org/10.1038/s41558-025-02276-3",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Zhang, Z.; Qian, Z.; Chen, M.; Zhu, R.; Zhang, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Marine heatwaves select for thermal tolerance in a reef-building coral",
"doi": "10.1038/s41558-025-02381-3",
"url": "https://doi.org/10.1038/s41558-025-02381-3",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Howells, E.; Abrego, D.; Schmidt-Roach, S.; Puill-Stephan, E.; Denis, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Temporary carbon dioxide removals to offset methane emissions",
"doi": "10.1038/s41558-025-02487-8",
"url": "https://doi.org/10.1038/s41558-025-02487-8",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Venmans, F.; Rickels, W.; Groom, B.",
"abstract": "Abstract\n \n Unlike CO\n 2\n , methane emissions have a particularly large short-term effect on temperature. We argue that these largely temporary temperature effects of methane emissions are apt to be offset by temporary CO\n 2\n removal. Temporally matching offsetting temperature reductions to the temperature impulse of methane eliminates the sizable intertemporal welfare transfers that o",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reducing the large short-lived impact of methane emissions with temporary carbon removals",
"doi": "10.1038/s41558-025-02511-x",
"url": "https://doi.org/10.1038/s41558-025-02511-x",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Venmans, F.; Rickels, W.; Groom, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rising lake and reservoir emissions",
"doi": "10.1038/s41558-025-02529-1",
"url": "https://doi.org/10.1038/s41558-025-02529-1",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Yang, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Modelling the impacts of policy sequencing on energy decarbonization",
"doi": "10.1038/s41558-025-02497-6",
"url": "https://doi.org/10.1038/s41558-025-02497-6",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Luo, H.; Peng, W.; Fawcett, A.; Green, J.; Iyer, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Individualized cost–benefit analysis does not fit for demand-side mitigation",
"doi": "10.1038/s41558-025-02330-0",
"url": "https://doi.org/10.1038/s41558-025-02330-0",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Berger, S.; Creutzig, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Meeting climate target with realistic demand-side policies in the residential sector",
"doi": "10.1038/s41558-025-02348-4",
"url": "https://doi.org/10.1038/s41558-025-02348-4",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Vivier, L.; Mastrucci, A.; van Ruijven, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reply to: Individualized cost–benefit analysis does not fit for demand-side mitigation",
"doi": "10.1038/s41558-025-02331-z",
"url": "https://doi.org/10.1038/s41558-025-02331-z",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Tan-Soo, J.; Qin, P.; Quan, Y.; Li, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dynamic grid management reduces wildfire adaptation costs in the electric power sector",
"doi": "10.1038/s41558-025-02436-5",
"url": "https://doi.org/10.1038/s41558-025-02436-5",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Warner, C.; Callaway, D.; Fowlie, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cost-effective adaptation of electric grids",
"doi": "10.1038/s41558-025-02421-y",
"url": "https://doi.org/10.1038/s41558-025-02421-y",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Wang, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Prolonged wind droughts in a warming climate threaten global wind power security",
"doi": "10.1038/s41558-025-02387-x",
"url": "https://doi.org/10.1038/s41558-025-02387-x",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Qu, M.; Shen, L.; Zeng, Z.; Yang, B.; Zhong, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Governance challenges for domestic cross-border carbon capture and storage",
"doi": "10.1038/s41558-025-02250-z",
"url": "https://doi.org/10.1038/s41558-025-02250-z",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Zhang, X.; Li, F.; Gu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Sinking carbon sinks",
"doi": "10.1038/s41558-025-02440-9",
"url": "https://doi.org/10.1038/s41558-025-02440-9",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ineffective carbon offset",
"doi": "10.1038/s41558-025-02259-4",
"url": "https://doi.org/10.1038/s41558-025-02259-4",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Carbon Asset Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon in river floodplains",
"doi": "10.1038/s41558-025-02341-x",
"url": "https://doi.org/10.1038/s41558-025-02341-x",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Wake, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Urbanization’s impact on soil carbon",
"doi": "10.1038/s41558-025-02264-7",
"url": "https://doi.org/10.1038/s41558-025-02264-7",
"journal": "Nature Climate Change",
"year": 2025,
"authors": "Davies, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Surfing vortex rings for energy-efficient propulsion",
"doi": "10.1093/pnasnexus/pgaf031",
"url": "https://doi.org/10.1093/pnasnexus/pgaf031",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Gunnarson, P.; Dabiri, J.",
"abstract": "Abstract\n Leveraging background fluid flows for propulsion has the potential to enhance the range and speed of autonomous aerial and underwater vehicles. In this work, we demonstrate experimentally a fully autonomous strategy for exploiting vortex rings for energy-efficient propulsion. First, an underwater robot used an onboard inertial measurement unit (IMU) to sense the motion induced by the passage of a vortex ring generated by a thruster in a 13,000-L water tank. In response to",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Correction to: Cocaine diminishes functional network robustness and destabilizes the energy landscape of neuronal activity in the medial prefrontal cortex",
"doi": "10.1093/pnasnexus/pgaf257",
"url": "https://doi.org/10.1093/pnasnexus/pgaf257",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Flexoelectricity and the fluctuations of (active) living cells: Implications for energy harvesting, ion transport, and neuronal activity",
"doi": "10.1093/pnasnexus/pgaf362",
"url": "https://doi.org/10.1093/pnasnexus/pgaf362",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Khandagale, P.; Liu, L.; Sharma, P.",
"abstract": "Abstract\n Biological membranes universally exhibit flexoelectricity, a form of electromechanical coupling in which membrane curvature induces electric polarization. This phenomenon enables the conversion of mechanical deformations into electrical signals and plays a central role in sensory processes such as hearing. Flexoelectricity can also ostensibly provide a facile route for energy harvesting via membrane flexure, and, in principle, enable useful work (e.g. as an ionic pump)",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Influence of climate change and accidents on perception differs among energy technologies",
"doi": "10.1093/pnasnexus/pgaf079",
"url": "https://doi.org/10.1093/pnasnexus/pgaf079",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "L’Her, G.; Duncan, N.; Jenkins-Smith, H.; Deinert, M.",
"abstract": "Abstract\n Risk perceptions of energy systems, and their evolution under climate change and after accidents, affect public acceptance of generation technologies. Despite this, little is understood about how such factors impact public perception at different timescales and the drivers for perception. We use state-of-the-art natural language processing to measure temporal changes in sentiment toward energy technologies using the full Twitter archive for 2009–2022. We find that percept",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Single-fibril Förster resonance energy transfer imaging and deep learning reveal concentration dependence of amyloid β 42 aggregation pathways",
"doi": "10.1093/pnasnexus/pgaf342",
"url": "https://doi.org/10.1093/pnasnexus/pgaf342",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Sohail, S.; Yoo, J.; Chung, H.",
"abstract": "Abstract\n Amyloid fibril formation is a highly heterogeneous process as evidenced by polymorphism in fibril structure. It has been suggested that different polymorphs are associated with different diseases or disease subtypes. Detailed characterization of this heterogeneity is a key to understanding the aggregation mechanism and, possibly, the disease mechanism. In this work, we develop Förster resonance energy transfer (FRET) imaging of amyloid fibril formation in real time and",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Spatiotemporal predictions of toxic urban plumes using deep learning",
"doi": "10.1093/pnasnexus/pgaf198",
"url": "https://doi.org/10.1093/pnasnexus/pgaf198",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Wang, Y.; Fernández-Godino, M.; Gunawardena, N.; Lucas, D.; Yue, X.",
"abstract": "Abstract\n Industrial accidents, chemical spills, and structural fires can release large amounts of harmful materials that disperse into urban atmospheres and impact populated areas. Computer models are typically used to predict the transport of toxic plumes by solving fluid dynamical equations. However, these models can be computationally expensive due to the need for many grid cells to simulate turbulent flow and resolve individual buildings and streets. In emergency response situ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global consistency of urban scaling evidenced by remote sensing",
"doi": "10.1093/pnasnexus/pgaf037",
"url": "https://doi.org/10.1093/pnasnexus/pgaf037",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Xu, Z.; Xu, G.; Lan, T.; Li, X.; Chen, Z.",
"abstract": "Abstract\n The urban scaling theory (UST) strives for a universal taxonomy that depicts relationships among urban indicators (e.g. energy consumption, economic output) with city size. However, the lack of international agreement on city definitions and statistics complicates cross-country comparisons of urban scaling performance. Remote sensing provides a uniform standard for measuring cities around the world. To scrutinize the consistency of UST, we quantified changes in remotely s",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Embracing imperfection: Carbon offset markets must learn to mitigate the risk of overcrediting",
"doi": "10.1093/pnasnexus/pgaf091",
"url": "https://doi.org/10.1093/pnasnexus/pgaf091",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Cabiyo, B.; Field, C.",
"abstract": "Abstract\n The role of carbon offset markets in accelerating climate action has been widely anticipated. Recently, fundamental questions have emerged about the role of carbon credits in the wake of widespread quality critiques of existing carbon offset projects. In tandem, many large corporate buyers are slowing their voluntary investments in carbon credits or shifting to less public vehicles for those investments. The discourse to date has focused on raising the quality bar of carb",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Versatile phenolic composites by in situ polymerization of concentrated dispersions of carbon nanotubes",
"doi": "10.1093/pnasnexus/pgaf274",
"url": "https://doi.org/10.1093/pnasnexus/pgaf274",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Yu, Z.; Zhang, C.; Chen, M.; Huang, J.",
"abstract": "Abstract\n Uniform dispersion of carbon nanotubes in a polymer matrix is a prerequisite for high-performance nanotube-based composites. Here, we report an in situ polymerization route to synthesize a range of phenolic composites with high loading of single-wall carbon nanotubes (SWCNTs, >40 wt%) and continuously tunable viscoelasticity. SWCNTs can be directly and uniformly dispersed in cresols through noncovalent charge-transfer interactions without the need for surfactants, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Direct observation of carbon dioxide adsorption and binding at the air/aqueous interface",
"doi": "10.1093/pnasnexus/pgaf064",
"url": "https://doi.org/10.1093/pnasnexus/pgaf064",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Rashwan, M.; Mao, Z.; Hirschi, J.; Zuehlsdorff, T.; Nyman, M.",
"abstract": "Abstract\n Carbon dioxide removal (CDR) involves reducing carbon dioxide (CO₂) concentrations. Developing new technologies and enhancing existing ones for extracting and converting CO₂ are ongoing areas of research. In all these technologies, the movement of CO2 molecules through an interface is a common process. At liquid surfaces, the nanometer-thick interfacial region is expected to play a fundamental role in enhancing or hindering the process. The interface can have significantl",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Air-conditioning replacement to enhance the reliability of renewable power systems under extreme weather risks",
"doi": "10.1093/pnasnexus/pgaf230",
"url": "https://doi.org/10.1093/pnasnexus/pgaf230",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Zhu, L.; Liang, Z.; Yan, Z.; Ming, X.; Duan, H.",
"abstract": "Abstract\n The increasing demand for residential heating and cooling significantly affects power systems, especially during extreme weather events. The replacement of outdated room air-conditioning (RAC) with a high-efficiency model demonstrated considerable potential in alleviating this effect. In this study, the impacts of extreme warm, cold, and drought events on power demand and supply are explored. By simulating residential heating and cooling loads in southern Chinese cities a",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electric field-coupled two-photon polymerization system for on-demand modulation of 3D-printed structural color",
"doi": "10.1093/pnasnexus/pgaf074",
"url": "https://doi.org/10.1093/pnasnexus/pgaf074",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Feng, W.; Sheng, S.; He, J.; Wang, X.; Zhu, J.",
"abstract": "Abstract\n Advanced manufacturing has been extensively studied using various resin monomers and customized apparatus. Multimaterial microfabrication tools remain limited due to the size constraints inherent in extrusion-based fabrication methods. In addition, prior research predominantly employs monomers as “inert” resins, with minimal emphasis on altering their properties during fabrication. In this study, we propose a novel approach to field-coupled advanced manufacturing, wherein",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate action literacy interventions increase commitments to more effective mitigation behaviors",
"doi": "10.1093/pnasnexus/pgaf191",
"url": "https://doi.org/10.1093/pnasnexus/pgaf191",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Goldwert, D.; Patel, Y.; Nielsen, K.; Goldberg, M.; Vlasceanu, M.",
"abstract": "Abstract\n Reducing lifestyle carbon emissions is a critical component of decarbonizing society. However, people hold substantial misperceptions about the relative efficacy of different behavioral changes, such as comprehensively recycling or avoiding long flights, and these misperceptions may lead to the suboptimal allocation of resources. In a preregistered experiment in the United States, we tested the effects of two literacy interventions on correcting misperceptions and increas",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The equity implications of pecuniary externalities on an electric grid",
"doi": "10.1093/pnasnexus/pgaf356",
"url": "https://doi.org/10.1093/pnasnexus/pgaf356",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Sims, C.; Ali, G.; Holladay, J.; Roberson, T.; Chen, C.",
"abstract": "Abstract\n The adoption of rooftop photovoltaic (PV) systems can create upward pressure on retail electricity rates as utilities are forced to spread their fixed costs of generation and transmission across a smaller customer base. Since high-income households are more likely to purchase PV systems, low-income households may be disproportionately impacted by these rate increases. Using a novel combination of agent-based computational economic modeling and a choice experiment of ro",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Multicriteria models provide enhanced insight for siting US offshore wind",
"doi": "10.1093/pnasnexus/pgaf051",
"url": "https://doi.org/10.1093/pnasnexus/pgaf051",
"journal": "npj Clean Energy",
"year": 2025,
"authors": "Santarromana, R.; Abdulla, A.; Morgan, M.; Mendonça, J.",
"abstract": "Abstract\n Offshore wind can be a key contributor to energy system decarbonization, but its deployment in certain regions has been slow, partly due to opposition from disparate interests. Failure to sufficiently address the concerns of external stakeholders could continue to hamper deployment. Here, we use a multi criteria model to assess all possible sites in a 2 km × 2 km grid of all potential locations in continental US federal waters, contrasting the perspectives of developers a",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Digital Jevons paradox in urban data center energy systems",
"doi": "10.1038/s44284-025-00289-9",
"url": "https://doi.org/10.1038/s44284-025-00289-9",
"journal": "Nature Cities",
"year": 2025,
"authors": "Wu, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploring the limits of energy use in urban poor communities",
"doi": "10.1038/s44284-024-00196-5",
"url": "https://doi.org/10.1038/s44284-024-00196-5",
"journal": "Nature Cities",
"year": 2025,
"authors": "Sarkar, A.; Jana, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Urban cooling and energy-saving effects of nature-based solutions across types and scales",
"doi": "10.1038/s44284-025-00349-0",
"url": "https://doi.org/10.1038/s44284-025-00349-0",
"journal": "Nature Cities",
"year": 2025,
"authors": "Wei, H.; Bai, X.; Lu, Q.; Wu, J.; Su, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Unveiling deployable rooftop solar potential across Chinese cities",
"doi": "10.1038/s44284-025-00270-6",
"url": "https://doi.org/10.1038/s44284-025-00270-6",
"journal": "Nature Cities",
"year": 2025,
"authors": "Shi, M.; Lu, X.; Craig, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Satellite analysis of methane emissions connects war and urban sustainability",
"doi": "10.1038/s44284-025-00312-z",
"url": "https://doi.org/10.1038/s44284-025-00312-z",
"journal": "Nature Cities",
"year": 2025,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vast and hidden urban methane emissions from the Russia–Ukraine war",
"doi": "10.1038/s44284-025-00309-8",
"url": "https://doi.org/10.1038/s44284-025-00309-8",
"journal": "Nature Cities",
"year": 2025,
"authors": "Feng, Z.; Hu, R.; Pan, Y.; Xv, Q.; Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Synergistic action on mitigation and adaptation pilot policies to enhance low-carbon resilience of Chinese cities",
"doi": "10.1038/s44284-025-00303-0",
"url": "https://doi.org/10.1038/s44284-025-00303-0",
"journal": "Nature Cities",
"year": 2025,
"authors": "Wang, D.; Chen, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Low-carbon solutions for water infiltration in urban buildings under climate change",
"doi": "10.1038/s44284-025-00259-1",
"url": "https://doi.org/10.1038/s44284-025-00259-1",
"journal": "Nature Cities",
"year": 2025,
"authors": "Xiao, J.; Yu, C.; Xia, B.; Xiao, X.; Wang, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid connections and inequitable access to electricity in African cities",
"doi": "10.1038/s44284-025-00221-1",
"url": "https://doi.org/10.1038/s44284-025-00221-1",
"journal": "Nature Cities",
"year": 2025,
"authors": "Kersey, J.; Massa, C.; Lukuyu, J.; Mbabazi, J.; Taneja, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Establishing the nexus between urban walkability and thermal comfort in a changing climate",
"doi": "10.1038/s44284-025-00315-w",
"url": "https://doi.org/10.1038/s44284-025-00315-w",
"journal": "Nature Cities",
"year": 2025,
"authors": "Abuwaer, N.; Ullah, S.; Al-Ghamdi, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Impact of mixed-height vegetation patches on energy loss in open-channel flow",
"doi": "10.1038/s41598-025-94744-1",
"url": "https://doi.org/10.1038/s41598-025-94744-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yang, Z.; Tang, X.; Li, F.; Liu, J.; Wang, H.",
"abstract": "Abstract\n This study investigates the influence of riparian vegetation on energy losses in open-channel flow, focusing on channels partially covered by mixed-height vegetation patches, a common feature in natural rivers and canals. While previous research has primarily focused on flow resistance in fully vegetated channels, there has been limited attention to channels with unevenly distributed vegetation patches. To address this gap, we developed an innovative experimental approach to e",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Integrating energy justice and economic realities through insights on energy expenditures, inequality, and renewable energy attitudes",
"doi": "10.1038/s41598-025-12410-y",
"url": "https://doi.org/10.1038/s41598-025-12410-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Volodzkiene, L.; Streimikiene, D.",
"abstract": "Abstract\n Energy justice is a cornerstone of the European Union’s pursuit of climate neutrality by 2050, addressing both environmental and societal challenges. This research employs a representative survey to analyze household expenditures on electricity, natural gas, and heating, evaluating the extent of energy inequality and its implications for affordability and access across income groups. The study also explores public attitudes toward renewable energy, focusing on perceive",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Control strategy evaluation for reactive power management in grid-connected photovoltaic systems under varying solar conditions",
"doi": "10.1038/s41598-025-08918-y",
"url": "https://doi.org/10.1038/s41598-025-08918-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Adak, S.",
"abstract": "",
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"direction_label": "Novel Low/Zero Carbon Technologies"
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{
"title": "Development of a new solar system integrating photovoltaic and thermoelectric modules with paraffin-based nanomaterials",
"doi": "10.1038/s41598-025-85161-5",
"url": "https://doi.org/10.1038/s41598-025-85161-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Alinia, A.; Sheikholeslami, M.",
"abstract": "",
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{
"title": "Design and performance analysis of a solar photovoltaic system for a rural community in rivers state, Nigeria",
"doi": "10.1038/s41598-025-00664-5",
"url": "https://doi.org/10.1038/s41598-025-00664-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ukoima, K.",
"abstract": "",
"data_url": "",
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{
"title": "Quadrant swapping technique for partial shaded solar photovoltaic system",
"doi": "10.1038/s41598-025-15120-7",
"url": "https://doi.org/10.1038/s41598-025-15120-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Thangaraj, H.; Chokkalingam, B.; Aruchamy, S.; David, P.; Padmanaban, S.",
"abstract": "Abstract\n Solar energy is one among the most essential renewable sources, and its use is vital to the long-term progress in environmental and energy development. Partial shadowing issues are frequently encountered for solar photovoltaic (PV) systems, and they always influence the PV array’s output power production. There are numerous methods used to reconfigure the PV arrays to extract the possible maximum power. However, those methods have sub-optimal performance in addressing certain ",
"data_url": "",
"source": "CrossRef",
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"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model",
"doi": "10.1038/s41598-025-87625-0",
"url": "https://doi.org/10.1038/s41598-025-87625-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Mohanasundaram, V.; Rangaswamy, B.",
"abstract": "",
"data_url": "",
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{
"title": "Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement",
"doi": "10.1038/s41598-024-80424-z",
"url": "https://doi.org/10.1038/s41598-024-80424-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Díaz-Bello, D.; Vargas-Salgado, C.; Alcazar-Ortega, M.; Alfonso-Solar, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"direction_label": "Novel Low/Zero Carbon Technologies"
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{
"title": "MXene-based multilayered and ultrawideband absorber for solar cell and photovoltaic applications",
"doi": "10.1038/s41598-025-86230-5",
"url": "https://doi.org/10.1038/s41598-025-86230-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ngobeh, J.; Sorathiya, V.; Alwabli, A.; Jaffar, A.; Faragallah, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar photovoltaic feed-in tariffs: viability analysis and policy recommendations",
"doi": "10.1038/s41598-025-32105-8",
"url": "https://doi.org/10.1038/s41598-025-32105-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Mekonnen, T.; Tsegaye, S.; Belete, B.; Selvaraj, J.; Negewo, A.",
"abstract": "",
"data_url": "",
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},
{
"title": "Enhancing photovoltaic efficiency in Half-Tandem MAPbI3/ MASnI3 Perovskite solar cells with triple core-shell plasmonic nanoparticles",
"doi": "10.1038/s41598-025-85243-4",
"url": "https://doi.org/10.1038/s41598-025-85243-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ivriq, S.; Mohammadi, M.; Davidsen, R.",
"abstract": "",
"data_url": "",
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"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU",
"doi": "10.1038/s41598-025-12797-8",
"url": "https://doi.org/10.1038/s41598-025-12797-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ait Mouloud, L.; Kheldoun, A.; Oussidhoum, S.; Alharbi, H.; Alotaibi, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Innovative biomass cogeneration system for a zero energy school building",
"doi": "10.1038/s41598-025-94519-8",
"url": "https://doi.org/10.1038/s41598-025-94519-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Birgani, A.; Assareh, E.; Ghafouri, A.; Jozaei, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Parametric analysis of passive ultra-low energy building envelope performance in existing residential buildings",
"doi": "10.1038/s41598-025-07421-8",
"url": "https://doi.org/10.1038/s41598-025-07421-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Fang, H.; Li, W.; Dai, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "An improved weighted average algorithm with Cloud-Based Risk-Conscious stochastic model for building energy optimization",
"doi": "10.1038/s41598-025-30043-z",
"url": "https://doi.org/10.1038/s41598-025-30043-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Keawsawasvong, S.; Jearsiripongkul, T.; Khajehzadeh, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Numerical and experimental investigation of innovative thermoelectric heat pump wall systems for enhancing building energy efficiency",
"doi": "10.1038/s41598-025-26276-7",
"url": "https://doi.org/10.1038/s41598-025-26276-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Roohi, R.; Amiri, M.; Akbari, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Building retrofit multiobjective optimization using neural networks and genetic algorithm three for energy carbon and comfort",
"doi": "10.1038/s41598-025-21871-0",
"url": "https://doi.org/10.1038/s41598-025-21871-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Duan, Z.; Li, B.; Zi, Y.; Yao, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm",
"doi": "10.1038/s41598-024-79782-5",
"url": "https://doi.org/10.1038/s41598-024-79782-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ebeed, M.; hassan, S.; Kamel, S.; Nasrat, L.; Mohamed, A.",
"abstract": "Abstract\n With the advancement of automation technologies in household appliances, the flexibility of smart home energy management (EM) systems has increased. However, this progress has brought about a new challenge for smart homes: the EM has become more complex with the integration of multiple conventional, renewable, and energy storage systems. To address this challenge, a novel modified Weighted Mean of Vectors algorithm (MINFO) is proposed. This algorithm aims to enhance the perfor",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Smart Home & EMS",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The impact of China’s artificial intelligence development on urban energy efficiency",
"doi": "10.1038/s41598-025-09319-x",
"url": "https://doi.org/10.1038/s41598-025-09319-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zeng, J.; Wang, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploring the applicability of “One-Size-Fits-All” road transport decarbonization strategies: a participatory energy systems modeling comparison of urban and non-urban municipalities",
"doi": "10.1038/s41598-025-94579-w",
"url": "https://doi.org/10.1038/s41598-025-94579-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "de Oliveira Laurin, M.; Aryanpur, V.; Farabi-Asl, H.; Grahn, M.; Taljegard, M.",
"abstract": "Abstract\n Despite the key role that local authorities play in shaping energy policies and implementing action plans, their level of involvement has been insufficiently examined. This study aims to assess how different socio-geographical factors impact the adoption of fossil-free vehicle technologies and fuels for private cars, buses, and trucks. Using a participatory energy systems modeling approach, this study explores the cost-optimal decarbonization of road transport in four urban an",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Analysis of spatial correlation network and influencing factors of green energy efficiency in urban agglomerations",
"doi": "10.1038/s41598-025-17905-2",
"url": "https://doi.org/10.1038/s41598-025-17905-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Shuai, K.; Chang, H.; He, F.; He, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon footprint and energy payback time of a micro wind turbine for urban decarbonization planning",
"doi": "10.1038/s41598-025-10540-x",
"url": "https://doi.org/10.1038/s41598-025-10540-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Pfadt-Trilling, A.; Fortier, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "An examination of the decoupling effect and influential mechanisms of energy consumption and economic growth in Chinese urban areas",
"doi": "10.1038/s41598-025-16262-4",
"url": "https://doi.org/10.1038/s41598-025-16262-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Cheng, H.; Li, C.; Huangmei, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploring how green location-oriented industrial policies promote urban energy efficiency: evidence from National eco-industrial demonstration parks in China",
"doi": "10.1038/s41598-025-30186-z",
"url": "https://doi.org/10.1038/s41598-025-30186-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Liu, Y.; Jiang, H.; Cui, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks",
"doi": "10.1038/s41598-025-92916-7",
"url": "https://doi.org/10.1038/s41598-025-92916-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sun, P.; He, J.; Wan, J.; Guan, Y.; Liu, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Water-based graphene oxide inks for inkjet-printed flexible moisture energy generators",
"doi": "10.1038/s41598-025-09628-1",
"url": "https://doi.org/10.1038/s41598-025-09628-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Anagnostou, K.; Urban, M.; Sotiropoulos, E.; Polyzoidis, C.; Kavalieraki, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transmission energy dispersive X-ray diffraction as a tool for the laboratory study of fast processes in metals",
"doi": "10.1038/s41598-025-16314-9",
"url": "https://doi.org/10.1038/s41598-025-16314-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Vavrik, D.; Georgiev, V.; Jakubek, J.; Masek, B.; Urban, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Corporate carbon emissions and market value",
"doi": "10.1038/s41598-025-16455-x",
"url": "https://doi.org/10.1038/s41598-025-16455-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Peer effects on rural household carbon emissions in China",
"doi": "10.1038/s41598-025-02315-1",
"url": "https://doi.org/10.1038/s41598-025-02315-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yan, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The impact of China pilot carbon market policy on electricity carbon emissions",
"doi": "10.1038/s41598-025-00975-7",
"url": "https://doi.org/10.1038/s41598-025-00975-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, Z.; Xiao, Y.; Zhang, K.; Tang, M.; Ma, T.",
"abstract": "Abstract\n The electric power industry is the pillar of the national economy but also the largest carbon emission sector in China, facing great pressure to reduce emissions. Existing research often lacks the analysis of the carbon market on electricity carbon emission reduction. Based on the panel data of 30 provinces (cities) in China from 2003 to 2020, we combine the multi-period difference-in-differences model with the spatial Durbin model to explore the effectiveness of the pilot car",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Impact of government’s dual-carbon attention on urban carbon emissions reduction: evidence from the Yangtze River Delta",
"doi": "10.1038/s41598-025-03541-3",
"url": "https://doi.org/10.1038/s41598-025-03541-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Chang, K.; Li, J.; Wei, S.; Li, B.",
"abstract": "Abstract\n \n There is an ever-increasing concern among local governments in China regarding the relationship between government attention and carbon emissions. This study proposes a new dual-carbon attention dictionary and measures local governments’ dual-carbon attention (GCA) level using textual analysis and the maximum reverse matching method. Our research highlights that an extended STIRPAT model exhibits the significance of local governments’ efforts in ac",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Urban Carbon Footprint",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Research on the impact of digital infrastructure construction on enterprise carbon emissions",
"doi": "10.1038/s41598-025-15091-9",
"url": "https://doi.org/10.1038/s41598-025-15091-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Du, Y.; Li, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The impact of carbon emissions trading on innovation bubbles in manufacturing enterprises",
"doi": "10.1038/s41598-025-99814-y",
"url": "https://doi.org/10.1038/s41598-025-99814-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Lyu, Z.; Li, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Correction: Research on the impact of digital infrastructure construction on enterprise carbon emissions",
"doi": "10.1038/s41598-025-22544-8",
"url": "https://doi.org/10.1038/s41598-025-22544-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Du, Y.; Li, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Industrial robots reduce carbon emissions in manufacturing through global value chains",
"doi": "10.1038/s41598-025-12958-9",
"url": "https://doi.org/10.1038/s41598-025-12958-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, Y.; Zhu, J.; Wang, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Research on the impact of the digital economy on carbon emissions based on the dual perspectives of carbon emission reduction and carbon efficiency",
"doi": "10.1038/s41598-025-87098-1",
"url": "https://doi.org/10.1038/s41598-025-87098-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Liu, X.; Chen, L.; Lu, Y.; Chang, M.; Xiao, Y.",
"abstract": "Abstract\n China’s digital economy is currently thriving, with the “dual carbon” targets representing a significant pursuit of economic development. The role of the digital economy in achieving these targets warrants detailed discussion. Using urban panel data from China spanning 2011 to 2021, this paper empirically examines the impact of the digital economy on urban carbon emissions. The findings reveal several key points: Firstly, the digital economy significantly reduces urban carbon ",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Urban Carbon Footprint",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors",
"doi": "10.1038/s41598-025-04973-7",
"url": "https://doi.org/10.1038/s41598-025-04973-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhu, X.; Shao, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Digital innovation and corporate carbon emissions from the perspective of asymmetric supply chain relations",
"doi": "10.1038/s41598-025-00150-y",
"url": "https://doi.org/10.1038/s41598-025-00150-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Fuxian, Z.; Xiaoli, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Spatial spillover effect and heterogeneity of digital economy on agricultural carbon emissions",
"doi": "10.1038/s41598-025-21487-4",
"url": "https://doi.org/10.1038/s41598-025-21487-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Liu, Y.; Pu, X.; Zhang, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Individual perceptions of renewable energy investment in Somali firms",
"doi": "10.1038/s41598-025-11581-y",
"url": "https://doi.org/10.1038/s41598-025-11581-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Nor, B.",
"abstract": "Abstract\n Somalia’s energy sector is seen as potential for development and investment. financing this sector is crucial for development and economic growth. Small and medium-sized private-sector enterprises are the primary electricity generators and distributors, operating diesel-powered systems via off-grid networks This study investigates the factors influencing investment intentions in renewable energy in Somalia. This study utilized a quantitative research approach employing a descr",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimal energy management of multi-carrier energy system considering uncertainty in renewable generation",
"doi": "10.1038/s41598-025-10404-4",
"url": "https://doi.org/10.1038/s41598-025-10404-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Garg, A.; Niazi, K.; Tiwari, S.; Sharma, S.; Rawat, T.",
"abstract": "Abstract\n This paper presents a structured approach for the efficient operation of multi-carrier energy systems under the uncertainty of renewable energy sources. As the penetration of wind and solar energy increases, managing the resulting variability becomes critical to maintaining both economic efficiency and operational flexibility. To address this, a two-stage multi objective optimization framework is proposed. In the first stage, the objective is to minimize daily operational cost",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Agricultural carbon footprints, renewable energy and sustainable development in Asia",
"doi": "10.1038/s41598-025-17491-3",
"url": "https://doi.org/10.1038/s41598-025-17491-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Liu, H.; Liu, Y.",
"abstract": "Abstract\n There is a growing concern over environmental degradation and climate change in rapidly developing Asian nations. However, little research has been conducted on the impact of agricultural carbon emissions and renewable energy use on sustainable development outcomes in Asia. This research looks at the relationship between agricultural carbon footprints (ACF), renewable energy consumption (RE), and sustainable development (SD) in nine Asian nations from 2000 to 2022. The study e",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Optimal energy management for multi-energy microgrids using hybrid solutions to address renewable energy source uncertainty",
"doi": "10.1038/s41598-025-90062-8",
"url": "https://doi.org/10.1038/s41598-025-90062-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ramkumar, M.; Subramani, J.; Sivaramkrishnan, M.; Munimathan, A.; Michael, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units",
"doi": "10.1038/s41598-025-06768-2",
"url": "https://doi.org/10.1038/s41598-025-06768-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Naghibi, A.; Akbari, E.; Veisi, M.; Shahmoradi, S.; Pirouzi, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Minimization of total costs for distribution systems with battery energy storage systems and renewable energy sources",
"doi": "10.1038/s41598-025-01972-6",
"url": "https://doi.org/10.1038/s41598-025-01972-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Pham, T.; Nguyen, T.; Kien, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Power quality disturbance identification using hybrid deep learning in renewable energy systems",
"doi": "10.1038/s41598-025-28291-0",
"url": "https://doi.org/10.1038/s41598-025-28291-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Peruman, P.; Ayyar, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Risks of mineral resources in the supply of renewable energy batteries",
"doi": "10.1038/s41598-025-94848-8",
"url": "https://doi.org/10.1038/s41598-025-94848-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Jia, S.; Meng, W.; Li, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transitioning to sustainable energy and enhanced environmental quality in Somalia through renewable energy, globalisation and trade openness",
"doi": "10.1038/s41598-025-87819-6",
"url": "https://doi.org/10.1038/s41598-025-87819-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Abdi, A.; Warsame, A.; Sugow, M.; Hussein, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A new 37- level inverter with reduced switches for renewable energy applications",
"doi": "10.1038/s41598-025-31963-6",
"url": "https://doi.org/10.1038/s41598-025-31963-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Shukla, S.; Goel, V.; Dhanamjayulu, C.",
"abstract": "Abstract\n \n Multilevel inverters (MLIs) are now crucial in producing high-quality output waveforms due to their modularity and efficiency. This paper presents a novel 37- level MLI topology with a reduced number of switches and sources. The proposed design offers several advantages, including lower total harmonic distortion (THD) of 1.21% in hardware and 0.8% in simulation, high efficiency of 93.26%, reduced total standing voltage of 18 V\n D",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Multi-criteria assessment of optimization methods for controlling renewable energy sources in distribution systems",
"doi": "10.1038/s41598-025-20339-5",
"url": "https://doi.org/10.1038/s41598-025-20339-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Eid, A.; Alsafrani, A.",
"abstract": "Abstract\n Numerous optimization techniques have recently been employed in the literature to enhance various electric power systems. Optimization algorithms help system operators determine the optimal location and capacity of any renewable energy source (RES) connected to a system, enabling them to achieve a specific goal and improve its performance. This study presents a novel statistical evaluation of 20 famous metaheuristic optimization techniques based on 10 performance measures. The",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response",
"doi": "10.1038/s41598-024-84605-8",
"url": "https://doi.org/10.1038/s41598-024-84605-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Lu, M.; Teng, Y.; Chen, Z.; Song, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Federated two-edge graph attention network with weighted global aggregation for electricity consumption demand forecasting",
"doi": "10.1038/s41598-025-28610-5",
"url": "https://doi.org/10.1038/s41598-025-28610-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yang, M.; Ren, J.; Zeng, L.; Yang, X.; Li, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Multi-temporal dimension prediction of new energy electricity demand based on chaos-LSSVM neural network",
"doi": "10.1038/s41598-025-27677-4",
"url": "https://doi.org/10.1038/s41598-025-27677-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Wu, Y.; Wang, W.; Ma, X.; Zhao, R.; Wu, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors",
"doi": "10.1038/s41598-025-91878-0",
"url": "https://doi.org/10.1038/s41598-025-91878-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "El-Azab, H.; Swief, R.; El-Amary, N.; Temraz, H.",
"abstract": "Abstract\n The purpose of this paper is to suggest short-term Seasonal forecasting for hourly electricity demand in the New England Control Area (ISO-NE-CA). Precision improvements are also considered when creating a model. Where the whole database is split into four seasons based on demand patterns. This article’s integrated model is built on techniques for machine and deep learning methods: Adaptive Neural-based Fuzzy Inference System, Long Short-Term Memory, Gated Recurrent Units, and",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An optimization method for integrated demand response strategies for electricity and heat considering the uncertainty of user-side loads",
"doi": "10.1038/s41598-025-30090-6",
"url": "https://doi.org/10.1038/s41598-025-30090-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Li, J.; Zhang, D.; Wei, Y.; Zhou, X.; Kong, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties",
"doi": "10.1038/s41598-025-87689-y",
"url": "https://doi.org/10.1038/s41598-025-87689-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, H.; Xi, Q.; Chen, L.; Min, Y.; Fan, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Observing the impact of renewable electricity on the emission factors of electric vehicles using electricity generation data",
"doi": "10.1038/s41598-025-26528-6",
"url": "https://doi.org/10.1038/s41598-025-26528-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, X.; Su, J.; Zhou, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The electricity purchasing and selling strategy of load aggregators participating in China’s dual-tier electricity market considering inter-provincial subsidies",
"doi": "10.1038/s41598-025-13385-6",
"url": "https://doi.org/10.1038/s41598-025-13385-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, H.; Tian, Y.; Liu, X.; Kuang, M.; Zhang, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Systematic hyperparameter analysis of GRU and LSTM across demand pattern types: a demand-characteristic-driven meta-learning framework for rapid optimization",
"doi": "10.1038/s41598-025-31508-x",
"url": "https://doi.org/10.1038/s41598-025-31508-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "El-Meehy, A.; El-Kharbotly, A.; El-Beheiry, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An empirical analysis of electricity use and expenditure in farming households in Poland",
"doi": "10.1038/s41598-025-22762-0",
"url": "https://doi.org/10.1038/s41598-025-22762-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Piwowar, A.",
"abstract": "Abstract\n \n The article presents the results of empirical research into expenditure on electricity and the dependencies of the share of these expenses with regard to the features of farming households in Poland. The source material came from empirical research conducted on a random sample of 480 farming households in Poland (each exceeding 5 ha of UAA), with multiple correspondence analysis (MCA) used in the analyses. Through a combination of survey methods an",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Time series transformer for tourism demand forecasting",
"doi": "10.1038/s41598-025-15286-0",
"url": "https://doi.org/10.1038/s41598-025-15286-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yi, S.; Chen, X.; Tang, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimizing electricity consumption in direct reduction iron processes using RSM, MLP, and RBF models",
"doi": "10.1038/s41598-025-18854-6",
"url": "https://doi.org/10.1038/s41598-025-18854-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Gholamzadeh, E.; Ghaemi, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Demand forecasting of smart tourism integrating spatial metrology and deep learning",
"doi": "10.1038/s41598-025-26830-3",
"url": "https://doi.org/10.1038/s41598-025-26830-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ma, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate adaptive energy efficiency modeling using a generalized additive approach to optimize building performance across Chinese climate zones",
"doi": "10.1038/s41598-025-04844-1",
"url": "https://doi.org/10.1038/s41598-025-04844-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yang, J.; He, M.; Zhang, X.; Ning, Q.; Chen, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Study on energy-autonomous technology for energy consumption performance and climate adaptation in independent public toilets based on DesignBuilder simulation",
"doi": "10.1038/s41598-025-91215-5",
"url": "https://doi.org/10.1038/s41598-025-91215-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Bi, D.; Zhao, Z.; Huang, Q.; Wang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Climate-adaptive energy forecasting in green buildings via attention-enhanced Seq2Seq transfer learning",
"doi": "10.1038/s41598-025-16953-y",
"url": "https://doi.org/10.1038/s41598-025-16953-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Peng, F.; Su, T.; Zeng, Q.; Han, X.",
"abstract": "Abstract\n Energy consumption forecasting in green buildings remains challenging due to complex climate-building interactions and temporal dependencies in energy usage patterns. Existing prediction models often fail to capture long-term dependencies and adapt to diverse climatic conditions, limiting their practical applicability. This study presents an integrated forecasting framework that combines sequence-to-sequence (Seq2Seq) architecture with reinforcement learning and transfer learn",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mitigating anthropogenic climate change with aqueous green energy",
"doi": "10.1038/s41598-025-86042-7",
"url": "https://doi.org/10.1038/s41598-025-86042-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Olim, S.; Nickoloff, A.; Moffat, L.; Weaver, A.; Eby, M.",
"abstract": "AbstractReaching net zero emissions and limiting global warming to 2 °C requires the widespread introduction of technology-based solutions to draw down existing atmospheric levels and future emissions of CO2. One such approach is direct air CO2 capture and storage (DACCS), a readily available, yet energy-intensive process. The combination of DACCS and ocean thermal energy conversion (OTEC) allows for independently powered carbon capture plants to inject concentrated carbon into deep marine sedim",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar potential assessment using machine learning and climate change projections for long-term energy planning",
"doi": "10.1038/s41598-025-23661-0",
"url": "https://doi.org/10.1038/s41598-025-23661-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Reddy, B.; Gautam, K.; Pachauri, N.",
"abstract": "Abstract\n This work proposes a novel method for evaluating solar potential, essential for the development, installation, and operation of solar power systems. The approach forecasts solar energy potential for specific sites by utilizing integrated geospatial, meteorological, and infrastructural multidimensional data. A new application has been released to assess the solar capacity globally. The study evaluated various machine learning methods, ultimately selecting an XGBoost mod",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A novel approach to wind energy modeling in the context of climate change at Zaafrana region in Egypt",
"doi": "10.1038/s41598-025-90583-2",
"url": "https://doi.org/10.1038/s41598-025-90583-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Kamel, B.; Abdelaziz, A.; Attia, M.; Khamees, A.",
"abstract": "Abstract\n Global warming, driven by the excessive emission of greenhouse gases from the combustion of fossil fuels, has emerged as a critical environmental challenge which is considered as a motivation for this research. Where, the switch to sustainable energy sources is crucial because of the pressing need to slow down climate change and lower carbon footprints. Of all the renewable energy sources, wind energy is particularly important as a means of reducing carbon emissions from the g",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "The role of environmental awareness, renewable energy, and green innovation in shaping climate change perceptions",
"doi": "10.1038/s41598-025-24815-w",
"url": "https://doi.org/10.1038/s41598-025-24815-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Hussain, A.; kanwel, S.; Erum, N.; Pasha, U.; Asad, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Anomaly detection with grid sentinel framework for electric vehicle charging stations in a smart grid environment",
"doi": "10.1038/s41598-025-00400-z",
"url": "https://doi.org/10.1038/s41598-025-00400-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Kesavan, V.; Hossen, M.; Gopi, R.; Joseph, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "An online learning method for assessing smart grid stability under dynamic perturbations",
"doi": "10.1038/s41598-025-94718-3",
"url": "https://doi.org/10.1038/s41598-025-94718-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Alaerjan, A.; Jabeur, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Design of a hybrid learning model for establishing consistency in smart grid environment",
"doi": "10.1038/s41598-025-28986-4",
"url": "https://doi.org/10.1038/s41598-025-28986-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Mahendran, S.; Gomathy, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Improving efficiency in smart grid monitoring using hybrid classification and dimensionality reduction",
"doi": "10.1038/s41598-025-26009-w",
"url": "https://doi.org/10.1038/s41598-025-26009-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Kumar, T.; Kesavaraja, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Robust algorithm development of frequency estimation in smart grid",
"doi": "10.1038/s41598-025-16533-0",
"url": "https://doi.org/10.1038/s41598-025-16533-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yu, Y.; Yang, Y.; Wang, X.; Lv, L.; Chen, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A smart grid data sharing scheme supporting policy update and traceability",
"doi": "10.1038/s41598-025-10704-9",
"url": "https://doi.org/10.1038/s41598-025-10704-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Yang, X.; Yao, K.; Li, S.; Du, X.; Wang, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme",
"doi": "10.1038/s41598-025-02690-9",
"url": "https://doi.org/10.1038/s41598-025-02690-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ali, M.; Besheer, A.; Emara, H.; Bahgat, A.",
"abstract": "Abstract\n The challenge of optimizing battery operating revenue while mitigating aging costs remains inadequately addressed in current literature. This paper introduces a novel cost–benefit approach for scheduling battery energy storage systems (BESS) within microgrids (MGs) that features smart grid attributes. The proposed comprehensive approach accounts for fluctuations of real-time pricing, demand charge tariffs, and battery degradation cost. Using the dynamic programming technique, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure",
"doi": "10.1038/s41598-025-04984-4",
"url": "https://doi.org/10.1038/s41598-025-04984-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sharma, A.; Rani, S.; Shabaz, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Interpretable adaptive fault detection method for smart grid based on belief rule base",
"doi": "10.1038/s41598-025-91897-x",
"url": "https://doi.org/10.1038/s41598-025-91897-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Li, Y.; Bai, Y.; Yang, R.; Feng, Z.; He, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid",
"doi": "10.1038/s41598-025-88389-3",
"url": "https://doi.org/10.1038/s41598-025-88389-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zuhaib, M.; Rihan, M.; Gupta, S.; Sufyan, M.",
"abstract": "Abstract\n Low-frequency oscillations (LFO) are inherent to large interconnected power systems. Timely detection and mitigation of these oscillations is essential to maintain reliable power system operation. This paper presents a methodology to identify and mitigate low-frequency oscillations ( forced and inter-area) using a wide area monitoring system (WAMS) based power system model utilizing phasor measurement units (PMUs). These models accurately identify the behavior and location of ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Effect of thermal stress on the life of DC link capacitors for smart grid",
"doi": "10.1038/s41598-025-88522-2",
"url": "https://doi.org/10.1038/s41598-025-88522-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sun, X.; Qiao, Y.; Li, Y.; Cao, C.; Guo, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Flexible renewable integrated energy system capabilities to improve voltage stability with power quality and economic environmental operation of smart grid",
"doi": "10.1038/s41598-025-29052-9",
"url": "https://doi.org/10.1038/s41598-025-29052-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Hassankashi, A.; Dini, A.; Pirouzi, S.; Veisi, M.; Bahreini, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine",
"doi": "10.1038/s41598-025-05083-0",
"url": "https://doi.org/10.1038/s41598-025-05083-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Duan, Y.; Xu, Z.; Chen, H.; Wang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "AI-driven smart grid optimization for hospital energy systems integrating renewable generation, predictive maintenance, and resilient infrastructure",
"doi": "10.1038/s41598-025-28907-5",
"url": "https://doi.org/10.1038/s41598-025-28907-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sarker, M.; Ramasamy, G.; Al Qwaid, M.; Hossen, M.; Sadeque, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhanced FPGA-based smart power grid simulation using Heun and Piecewise analytic method",
"doi": "10.1038/s41598-025-18105-8",
"url": "https://doi.org/10.1038/s41598-025-18105-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Gul, U.; Raza Ur Rehman, H.; Gul, M.; Mezquita, G.; Barrera, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Prediction of electricity consumption and hydropower production in the smart power grid based on the gated recurrent unit neural network and modified future search algorithm",
"doi": "10.1038/s41598-025-32294-2",
"url": "https://doi.org/10.1038/s41598-025-32294-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Tang, H.; Wang, Y.; Yuan, X.; Razmjooy, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Resilient cybersecurity in smart grid ICS communication using BLAKE3-driven dynamic key rotation and intrusion detection",
"doi": "10.1038/s41598-025-17530-z",
"url": "https://doi.org/10.1038/s41598-025-17530-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Dokku, N.; David Amar Raj, R.; Bodapati, S.; Pallakonda, A.; Reddy, Y.",
"abstract": "Abstract\n The increasing convergence of Industrial Control Systems (ICS) with critical infrastructure, such as smart grids, has increased their exposure to advanced cyber threats, demanding advanced security frameworks to maintain security and operational integrity. This paper shows an innovative cybersecurity approach for ICS, using the IEC 60870-5-104 dataset, that combines machine learning, cryptographic resilience, and forensic analysis to predict and neutralize various attack vecto",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid tied hybrid PV fuel cell system with energy storage and ANFIS based MPPT for smart EV charging",
"doi": "10.1038/s41598-025-09626-3",
"url": "https://doi.org/10.1038/s41598-025-09626-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "vendoti, S.; Tulasi, N.; Jalli, R.; Ponnuru, S.; Jin, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids",
"doi": "10.1038/s41598-025-10849-7",
"url": "https://doi.org/10.1038/s41598-025-10849-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Azadikhouy, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Powertrain configuration design for two mode power split hybrid electric vehicle",
"doi": "10.1038/s41598-025-87378-w",
"url": "https://doi.org/10.1038/s41598-025-87378-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ke, T.; Nie, L.; Kecskeméthy, A.",
"abstract": "Abstract\n Hybrid transmissions have attracted great attention in the automotive industry due to their energy-saving, low-emission properties, and have become a focus of research and development. This paper presents a new method to design the configuration of two mode power split hybrid transmission using the combination of the simple planetary gear trains (PGT). For this purpose, the hybrid transmission structure is divided into two substructures, which achieve different operation modes",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multi-objective route optimization for electric vehicle hazardous materials transportation in uncertain environments",
"doi": "10.1038/s41598-025-32134-3",
"url": "https://doi.org/10.1038/s41598-025-32134-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, Q.; Zhang, Z.; Ma, C.",
"abstract": "Abstract\n This paper focuses on the application of electric vehicles in the transportation of Category 9 hazardous materials. Given the high requirements for safety and timeliness in hazardous materials transportation, this study first comprehensively considers the impacts of population density uncertainty and cargo volume changes on transportation risks and power consumption. Furthermore, a multi-objective path optimization model is developed. The model aims to minimize transpo",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Comprehensive performance analysis of an electric vehicle using multi-mode Indian drive cycles",
"doi": "10.1038/s41598-025-02238-x",
"url": "https://doi.org/10.1038/s41598-025-02238-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Kondru, J.; Obulesu, Y.",
"abstract": "Abstract\n The constant advancements in the research and development society of vehicle manufacturing made the customer’s attention towards EV ownership due to the better economic profile in the view of maintenance and operations. Even though the vehicles have better features the performance of the EV can be estimated with the consideration of the designed drive cycle for the region. According to that the procurement of EVs should be in the approved range of drive cycles with the concern",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Cooperation between competitive electric vehicle manufacturers: a strategic analysis of charging pile construction",
"doi": "10.1038/s41598-025-10690-y",
"url": "https://doi.org/10.1038/s41598-025-10690-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, L.; Xia, Y.; Guo, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Carbon management in massive electric vehicle temporal and spatial scheduling with automotive electronic forensics",
"doi": "10.1038/s41598-025-93798-5",
"url": "https://doi.org/10.1038/s41598-025-93798-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Cao, Y.; Zhang, Y.; Zhao, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Survival analysis of electric vehicle charging behavior and the temporal evolution of feature effects",
"doi": "10.1038/s41598-025-18771-8",
"url": "https://doi.org/10.1038/s41598-025-18771-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Meža, M.; Strle, G.; Meža, M.",
"abstract": "Abstract\n This study proposes a survival-based modeling framework that combines behavioral features with interpretable machine learning to understand and predict user churn in electric vehicle charging services. Using a dataset of 1,074 users and 107,531 charging sessions from Central European countries, we modeled time-to-churn while handling censored observations. The best-performing model, a Stacked Weibull survival model based on gradient boosting, achieved a concordance index of 0.",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle",
"doi": "10.1038/s41598-025-11330-1",
"url": "https://doi.org/10.1038/s41598-025-11330-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Paulraj, T.; Obulesu, Y.",
"abstract": "Abstract\n This research introduces a novel machine learning-based strategy for generating supercapacitor (SC) reference current to optimize energy distribution in Battery Electric Vehicles (BEV) and Hybrid Battery Electric Vehicles (HBEV). A Long Short-Term Memory (LSTM) neural network is trained using real-world drive cycle data and exported in Open Neural Network Exchange (ONNX) format for real-time deployment within a Simulink-based control environment. This enables adaptive SC curre",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Location allocation and capacity optimization for a PV and battery integrated hybrid community electric vehicle charging station",
"doi": "10.1038/s41598-025-31865-7",
"url": "https://doi.org/10.1038/s41598-025-31865-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Kayal, P.; Braciník, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Smart Strategies for Improving Electric Vehicle Battery Performance and Efficiency",
"doi": "10.1038/s41598-025-25987-1",
"url": "https://doi.org/10.1038/s41598-025-25987-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Tangi, S.; Vatsa, A.; Opam, A.; Bonthagorla, P.; Gaonkar, D.",
"abstract": "Abstract\n The increasing demand for Electric Vehicles (EVs) necessitates accurate range prediction and optimization of driving parameters to address range anxiety and improve user experience. This study proposes a machine learning-based framework for predicting EV range, optimum acceleration, and velocity using a synthetically generated dataset of 2,000 samples designed to reflect real-world driving scenarios. Four models—Random Forest (RF), Extra Trees (ET), Linear Regression (",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "New flexible bidirectional converter for electric vehicle substations connecting microgrids",
"doi": "10.1038/s41598-025-19277-z",
"url": "https://doi.org/10.1038/s41598-025-19277-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Vinh, N.; Nguyen, V.; Van Dung, N.; Vu, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Strategic design of wind energy and battery storage for efficient and sustainable energy systems",
"doi": "10.1038/s41598-025-18863-5",
"url": "https://doi.org/10.1038/s41598-025-18863-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Eroğlu, H.; Kurtuluş, O.",
"abstract": "Abstract\n The intermittent nature of renewable energy sources, particularly wind power, necessitates advanced energy management and storage strategies to ensure grid stability and economic viability. This study investigates the techno economic benefits of integrating Battery Energy Storage Systems (BESS) into wind power plants by developing and evaluating optimized hybrid operation strategies. Using real world Data from a 70 MW wind farm, ten distinct operational strategies were simulat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Advancing wind energy potential estimation through multidistribution wind speed analysis in coastal Pakistan",
"doi": "10.1038/s41598-025-03322-y",
"url": "https://doi.org/10.1038/s41598-025-03322-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Abbas, G.; Ali, A.; Mushtaq, Z.; Rehman, A.; Hussen, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A spatial decision making framework using neutrosophic VIKOR for wind energy investment in Turkey",
"doi": "10.1038/s41598-025-18799-w",
"url": "https://doi.org/10.1038/s41598-025-18799-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Eroğlu, H.",
"abstract": "Abstract\n The growing demand for clean energy and the urgency of reducing carbon emissions have made wind power a key element of Turkey’s renewable energy strategy. However, identifying optimal regions for wind energy investment remains a complex task due to the interplay of technical, spatial, and economic factors, all of which are characterized by varying degrees of uncertainty. Although GIS-based site selection and multi-criteria decision-making (MCDM) methods are widely used, few ap",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Interval-aware optimal control of PMSG-based wind energy conversion systems via piecewise Chebyshev inclusion",
"doi": "10.1038/s41598-025-26563-3",
"url": "https://doi.org/10.1038/s41598-025-26563-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Razmjooy, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimizing weak grid integrated wind energy systems using ANFIS-SRF controlled DSTATCOM",
"doi": "10.1038/s41598-025-98872-6",
"url": "https://doi.org/10.1038/s41598-025-98872-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ramana, P.; Rosalina, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An aeroelastic wind energy harvester with continuous orbiting motion and no friction components",
"doi": "10.1038/s41598-025-17512-1",
"url": "https://doi.org/10.1038/s41598-025-17512-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Denissenko, P.; Tucker Harvey, S.",
"abstract": "Abstract\n A continuous-movement aeroelastic energy harvester with no friction parts is presented. Different from the commonly used vortex-induced vibration or galloping devices, the proposed energy harvesting system is constructed with a circular arc airfoil mounted to a flexible beam that follows a closed trajectory rather than oscillating linearly. The continuous motion of the airfoil results in the flow being fully attached, resulting in a greater efficiency than that of conventional",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "DDPG algorithm for power optimization and control of solar PV-integrated DFIG wind energy systems",
"doi": "10.1038/s41598-025-19818-6",
"url": "https://doi.org/10.1038/s41598-025-19818-6",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Pandey, R.; Bose, S.; Dwivedi, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Dynamic behaviour and power performance of a Septon semisubmersible floating wind turbine integrated with wave energy converters",
"doi": "10.1038/s41598-025-25012-5",
"url": "https://doi.org/10.1038/s41598-025-25012-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sebastian, B.; Karmakar, D.; Rao, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reducing power ripple for multi-rotor wind energy systems using FOPDPI controllers",
"doi": "10.1038/s41598-025-96625-z",
"url": "https://doi.org/10.1038/s41598-025-96625-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Benbouhenni, H.; Colak, I.; Elbarbary, Z.; Irshad, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Predictive riccati control for enhancing power quality using extended pq theory in wind energy-based conversion systems",
"doi": "10.1038/s41598-025-13782-x",
"url": "https://doi.org/10.1038/s41598-025-13782-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sundari, K.; Umamaheswari, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage",
"doi": "10.1038/s41598-025-29604-z",
"url": "https://doi.org/10.1038/s41598-025-29604-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Bhavani, T.; Rajababu, D.; Irfan, M.; Rakesh, T.; Sekhar, P.",
"abstract": "Abstract\n As renewable energy sources gain distinction in distributed power generation, micro-grid systems integrating solar photovoltaic (PV), micro-turbine-based wind energy, and flywheel energy storage have developed as sustainable solutions. This paper presents a novel design methodology for a hybrid micro-grid system that optimally integrates these components, ensuring enhanced efficiency, resilience, and stability. In a grid outage or weak-grid scenario, a flywheel provide",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Conceptual design of airborne contra rotating VAWTs for rooftop wind energy",
"doi": "10.1038/s41598-025-90601-3",
"url": "https://doi.org/10.1038/s41598-025-90601-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Radhakrishnan, J.; Sridhar, S.; Zuber, M.; Ng, E.; Shenoy, B.",
"abstract": "Abstract\n Co-rotating, counter, and contra-rotating Vertical Axis Wind Turbines (VAWTs) offer higher power yields than singular turbines due to synergetic interactions, making them ideal for rooftop applications. This study focuses on enhancing the efficiency of a Contra-Rotating VAWT (CR-VAWT) using a ducted airborne configuration. A wind gathering device (WGD), optimized via the Taguchi method, is integrated around the CR-VAWT, which is elevated using an oblate spheroid aerostat desig",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Economic and environmental assessment of different energy storage methods for hybrid energy systems",
"doi": "10.1038/s41598-025-09732-2",
"url": "https://doi.org/10.1038/s41598-025-09732-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Liu, Y.; Zhang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Bi-objective operation optimization of regional integrated energy system considering shared energy storage",
"doi": "10.1038/s41598-025-22502-4",
"url": "https://doi.org/10.1038/s41598-025-22502-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Li, X.; Zhu, L.; Zhao, L.; Zhang, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Multi-timescale optimization scheduling of integrated energy systems oriented towards generalized energy storage services",
"doi": "10.1038/s41598-025-92601-9",
"url": "https://doi.org/10.1038/s41598-025-92601-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Mao, Y.; Cai, Z.; Jiao, X.; Long, D.",
"abstract": "Abstract\n This paper addresses the limitations of existing research that focuses on single-sided resources and two-timescale optimization, overlooking the coordinated response of various energy storage resources across different timescales in comprehensive energy systems. To tackle these shortcomings, the study integrates flexible demand-side resources, such as electric vehicles (EVs), hydrogen storage, and air conditioning clusters, as generalized energy storage. It explores their impa",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Optimizing CHP-based multi-carrier energy networks with advanced energy storage solutions",
"doi": "10.1038/s41598-025-24804-z",
"url": "https://doi.org/10.1038/s41598-025-24804-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Hamedi, A.; Seifi, A.; Abbasi, A.; Keihan Asl, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Experimental analysis of solar still equipped with porous rubber sheet as energy storage material",
"doi": "10.1038/s41598-025-93148-5",
"url": "https://doi.org/10.1038/s41598-025-93148-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Sathyamurthy, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Optimal scheduling of integrated energy system with gas–liquid phase change carbon dioxide energy storage considering multi-layer low-carbon benefits",
"doi": "10.1038/s41598-025-05438-7",
"url": "https://doi.org/10.1038/s41598-025-05438-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Li, W.; An, G.; Cai, T.; Yang, Q.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Artificial intelligence powered intelligent energy management framework for hydrogen storage and dispatch in smart microgrids",
"doi": "10.1038/s41598-025-24408-7",
"url": "https://doi.org/10.1038/s41598-025-24408-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Hassan, M.",
"abstract": "Abstract\n \n Hydrogen energy storage is increasingly recognized as a key enabler for enhancing flexibility and reliability in smart microgrids with high shares of renewable energy. However, its practical deployment remains constrained by challenges such as real-time dispatch complexity, forecasting uncertainty, and nonlinear system dynamics. This study presents a novel AI-powered decision-support framework that integrates Long Short-Term Memory (LSTM) neural ne",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint analysis and carbon neutrality potential of desalination by reverse osmosis for different applications basd on life cycle assessment method",
"doi": "10.1038/s41598-025-24518-2",
"url": "https://doi.org/10.1038/s41598-025-24518-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, M.; Yu, S.; Shi, C.; Wang, H.; Chang, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Uncovering the carbon footprint of minimally invasive axillary osmidrosis surgery in China through life cycle assessment",
"doi": "10.1038/s41598-025-09293-4",
"url": "https://doi.org/10.1038/s41598-025-09293-4",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Tan, K.; Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint analysis and emission reduction pathways of Bogie frame manufacturing process in Urban Rail Transportation",
"doi": "10.1038/s41598-024-83407-2",
"url": "https://doi.org/10.1038/s41598-024-83407-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhou, J.; Wang, R.; Liu, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Irrigation and primary nutrients’ performance on winter maize productivity, profitability, energetics, and carbon footprint in Gangetic plains of India",
"doi": "10.1038/s41598-025-02896-x",
"url": "https://doi.org/10.1038/s41598-025-02896-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Biswas, S.; Das, R.; Dutta, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Temporal-spatial evolution and formation mechanism of energy consumption carbon footprint at county scale in the Yellow River Basin",
"doi": "10.1038/s41598-025-86383-3",
"url": "https://doi.org/10.1038/s41598-025-86383-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, L.; Song, M.; Gao, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint awareness scale (CFAS): validity and reliability study on university students",
"doi": "10.1038/s41598-025-07947-x",
"url": "https://doi.org/10.1038/s41598-025-07947-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Pekel, A.; Yoka, K.; Turan, M.; Yoka, O.; Akyüz, O.",
"abstract": "Abstract\n This study was designed with a mixed model to develop a valid and reliable measurement tool to measure university students’ carbon footprint awareness. A total of 1053 university students, 454 female and 599 male, were included in the study voluntarily. To provide evidence for the scale’s validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied to the measurement tool within the scope of construct validity. In the Exploratory Factor Analy",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint assessment and reconstruction redesign of recycled discarded military training uniforms",
"doi": "10.1038/s41598-025-87733-x",
"url": "https://doi.org/10.1038/s41598-025-87733-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Huang, G.; Shi, S.; Wang, Q.; Li, F.; Li, X.",
"abstract": "Abstract\n In response to the problem of resource waste and environmental pollution caused by the large amount of waste textiles in China, taking waste military training uniforms as an example, a thorough investigation was conducted to draw a life cycle diagram of military training uniforms, establish a recycling system for waste military training uniforms, and use Taiyuan University of Technology as a pilot for recycling. The carbon footprint of different recycling methods was c",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint of food production: a systematic review and meta-analysis",
"doi": "10.1038/s41598-025-19476-8",
"url": "https://doi.org/10.1038/s41598-025-19476-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Mandouri, J.; Onat, N.; Kucukvar, M.; Jabbar, R.; Al-Quradaghi, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Deep neural network-enhanced prediction and carbon footprint analysis of early-age high-performance manufactured sand concrete’s stress–strain behavior",
"doi": "10.1038/s41598-025-89016-x",
"url": "https://doi.org/10.1038/s41598-025-89016-x",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Han, L.; Pu, G.; Guo, Q.; Shi, D.; Liu, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A unified probabilistic energy and carbon footprint appraisal for intermittent water supply systems in arid regions",
"doi": "10.1038/s41598-025-18698-0",
"url": "https://doi.org/10.1038/s41598-025-18698-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Haider, H.; Hassan, K.; Shafiquzzaman, M.; Alresheedi, M.; Mallick, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Study on carbonation behavior and carbon footprint of steel slag-calcium carbide slag-desulfurization gypsum composite system",
"doi": "10.1038/s41598-025-99803-1",
"url": "https://doi.org/10.1038/s41598-025-99803-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Wang, K.; Zheng, H.; Li, S.; Sun, Y.; Ba, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Linking carbon footprint methodologies and environmental protection via sustainable product development with a moderating role of regulatory compliance",
"doi": "10.1038/s41598-025-12291-1",
"url": "https://doi.org/10.1038/s41598-025-12291-1",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Qalati, S.; Siddiqui, F.; Kumari, S.; Badwy, H.; Wu, Q.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Quantifying the energy and emissions implications of consumption redistribution in the UK through sustainable consumption corridors",
"doi": "10.1038/s41598-025-01495-0",
"url": "https://doi.org/10.1038/s41598-025-01495-0",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Betts-Davies, S.; Owen, A.; Barrett, J.; Brockway, P.; Norman, J.",
"abstract": "Abstract\n Reducing inequality to ensure decent living standards alongside climate mitigation, are frequently posited as dual goals of a just transition. Energy sufficiency has received attention as a solution to these crises, but there has been limited exploration of the impact sufficiency principles could have on energy and GHG emissions. Addressing this gap, we utilise a consumption-corridor approach to develop three redistributive scenarios of final consumption for the UK. Each scena",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy consumption prediction of PEVs incorporating traffic flow information",
"doi": "10.1038/s41598-025-05098-7",
"url": "https://doi.org/10.1038/s41598-025-05098-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Chen, Y.; Song, Z.; Chen, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimization of mine ventilation energy consumption based on improved dung beetle algorithm",
"doi": "10.1038/s41598-025-15263-7",
"url": "https://doi.org/10.1038/s41598-025-15263-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Bingyan, G.; Zhe, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm",
"doi": "10.1038/s41598-025-87013-8",
"url": "https://doi.org/10.1038/s41598-025-87013-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Cao, Y.; Yu, J.; Zhong, R.; Munetomo, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessment of electrode materials in EDM of SS316L: energy consumption, electrode wear, dielectric consumption, GHG emissions, and economic viability for sustainable development",
"doi": "10.1038/s41598-025-24430-9",
"url": "https://doi.org/10.1038/s41598-025-24430-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Ali, M.; Raza, M.; Ehsan, S.; Sana, M.; Farooq, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency",
"doi": "10.1038/s41598-025-14423-z",
"url": "https://doi.org/10.1038/s41598-025-14423-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Mochurad, L.; Levkovych, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Deep learning approach to energy consumption modeling in wastewater pumping systems",
"doi": "10.1038/s41598-025-23158-w",
"url": "https://doi.org/10.1038/s41598-025-23158-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Piri, J.; Masoudi, B.; Haghighi, M.; Kisi, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Study on indoor thermal environment and energy consumption of traditional dwellings of ethnic minorities in Sichuan plateau",
"doi": "10.1038/s41598-025-93002-8",
"url": "https://doi.org/10.1038/s41598-025-93002-8",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zhang, Y.; Wang, B.",
"abstract": "Abstract\n In this paper, field tests, questionnaire surveys, and DesignBuilder were used to analyse the indoor thermal environment and energy consumption of traditional houses in a traditional ethnic minority village of Western Sichuan Plateau of China, The results showed that during the summer test period, the outdoor temperature range was 9.3–7.8 °C and the relative humidity range was 53.5–67.4%, while the indoor temperature range of the tested room was 13.3–2.3 °C, and the relative h",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Modeling energy consumption indexes of an industrial cement ball mill for sustainable production",
"doi": "10.1038/s41598-025-03232-z",
"url": "https://doi.org/10.1038/s41598-025-03232-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Chehreh Chelgani, S.; Fatahi, R.; Pournazari, A.; Nasiri, H.",
"abstract": "Abstract\n The total cement energy consumption is around 5% of global industrial energy usage. In cement plants, mills consume half of this energy for dry grinding particles. However, grinding in tumbling mills is a random process, and a maximum of 5% of this energy would be directly devoted to particle size reduction. Thus, understanding interactions between operation variables and the mill energy consumption factors would be essential for sustainable cement production and green transit",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Natural gas bi-level demand response strategies considering incentives and complexities under dynamic pricing",
"doi": "10.1038/s41598-025-11893-z",
"url": "https://doi.org/10.1038/s41598-025-11893-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Zeng, H.; Zhou, J.; Dai, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Concept of a demand-response model for smart community construction: a case study in Ningbo, China",
"doi": "10.1038/s41598-025-91241-3",
"url": "https://doi.org/10.1038/s41598-025-91241-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Gao, C.; Zhao, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An optimized demand response framework for enhancing power system reliability under wind power and EV-induced uncertainty",
"doi": "10.1038/s41598-025-05482-3",
"url": "https://doi.org/10.1038/s41598-025-05482-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Pakbin, H.; Karimi, A.; Hassanzadeh, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Optimizing microgrid performance a multi-objective strategy for integrated energy management with hybrid sources and demand response",
"doi": "10.1038/s41598-025-00118-y",
"url": "https://doi.org/10.1038/s41598-025-00118-y",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Moosavi, M.; Olamaei, J.; Shourkaei, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multiobjective distribution system operation with demand response to optimize solar hosting capacity, voltage deviation index and network loss",
"doi": "10.1038/s41598-024-82379-7",
"url": "https://doi.org/10.1038/s41598-024-82379-7",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Loji, K.; Sharma, S.; Sharma, G.; Rawat, T.",
"abstract": "AbstractIn this research, demand response impact on the hosting capacity of solar photovoltaic for distribution system is investigated. The suggested solution model is formulated and presented as a tri-objective optimization that consider maximization of solar PV hosting capacity (HC), minimization of network losses (Loss) and maintaining node voltage deviation (VDev) within acceptable limits. These crucial objectives are optimized simultaneously as well as individually. To assess the efficacy o",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system",
"doi": "10.1038/s41598-025-85175-z",
"url": "https://doi.org/10.1038/s41598-025-85175-z",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Dey, B.; Sharma, G.; Bokoro, P.; Dutta, S.",
"abstract": "AbstractThe cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with additional complex constraints such as PHEV scheduling and battery life assessment. Pollutant reduction, however, is rarely highlighted as a primary goal. An incentive-based demand response (IBDR) is introd",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response",
"doi": "10.1038/s41598-025-88776-w",
"url": "https://doi.org/10.1038/s41598-025-88776-w",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Xiao, G.; Liu, H.; Nabatalizadeh, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program",
"doi": "10.1038/s41598-024-83284-9",
"url": "https://doi.org/10.1038/s41598-024-83284-9",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Elshenawy, M.; Mohamed, A.; Ali, A.; Mosa, M.",
"abstract": "AbstractTo improve the inadequate reliability of the grid that has led to a worsening energy crisis and environmental issues, comprehensive research on new clean renewable energy and efficient, cost-effective, and eco-friendly energy management technologies is essential. This requires the creation of advanced energy management systems to enhance system reliability and optimize efficiency. Demand-side energy management systems are a superior solution for multiple reasons. Firstly, they empower co",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Analyzing the impacts of employing demand response and creating optimal coalition on optimal scheduling of multi-microgrid",
"doi": "10.1038/s41598-025-95863-5",
"url": "https://doi.org/10.1038/s41598-025-95863-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Altimania, M.; Rostami , R.; Hosseinnia, H.; Alromithy, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies",
"doi": "10.1038/s41598-025-11561-2",
"url": "https://doi.org/10.1038/s41598-025-11561-2",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Meng, Q.; He, Y.; Hussain, S.; Lu, J.; Guerrero, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multi-objective optimization of gamified demand response for PV-integrated microgrids: a novel NSGA-III framework with behavioral adaptation modeling",
"doi": "10.1038/s41598-025-13904-5",
"url": "https://doi.org/10.1038/s41598-025-13904-5",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Duan, Y.; Gao, C.; Zhang, J.; Wu, Y.; Zhou, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency",
"doi": "10.1038/s41598-025-86232-3",
"url": "https://doi.org/10.1038/s41598-025-86232-3",
"journal": "Scientific Reports",
"year": 2025,
"authors": "Singh, A.; Dey, B.; Bajaj, M.; Kadiwala, S.; Kumar, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A guide to ion separations for the global energy transition",
"doi": "10.1016/j.joule.2025.102134",
"url": "https://doi.org/10.1016/j.joule.2025.102134",
"journal": "Joule",
"year": 2025,
"authors": "Kingsbury, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Artificial intelligence: Supply chain constraints and energy implications",
"doi": "10.1016/j.joule.2025.101961",
"url": "https://doi.org/10.1016/j.joule.2025.101961",
"journal": "Joule",
"year": 2025,
"authors": "de Vries-Gao, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mine photovoltaic systems for a sustainable energy transition",
"doi": "10.1016/j.joule.2025.102097",
"url": "https://doi.org/10.1016/j.joule.2025.102097",
"journal": "Joule",
"year": 2025,
"authors": "Zhang, Y.; Lu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "All-climate battery energy storage",
"doi": "10.1016/j.joule.2025.102178",
"url": "https://doi.org/10.1016/j.joule.2025.102178",
"journal": "Joule",
"year": 2025,
"authors": "Wang, C.; Qin, K.; Gupta, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A “living photocatalyst” for solar-to-chemical energy conversion",
"doi": "10.1016/j.joule.2025.102129",
"url": "https://doi.org/10.1016/j.joule.2025.102129",
"journal": "Joule",
"year": 2025,
"authors": "Zhou, X.; Zhang, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Surveying the potential of flexible and high-specific-power photovoltaic assemblies and arrays for space applications",
"doi": "10.1016/j.joule.2025.102194",
"url": "https://doi.org/10.1016/j.joule.2025.102194",
"journal": "Joule",
"year": 2025,
"authors": "Mejía Escobar, M.; Algora, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Carbon contracts for difference design: Managing carbon price risk in a low-carbon industry",
"doi": "10.1016/j.joule.2025.101921",
"url": "https://doi.org/10.1016/j.joule.2025.101921",
"journal": "Joule",
"year": 2025,
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"title": "Assessing the techno-economic benefits of LEMs for different grid topologies and prosumer shares",
"doi": "10.1016/j.isci.2025.112493",
"url": "https://doi.org/10.1016/j.isci.2025.112493",
"journal": "iScience",
"year": 2025,
"authors": "Doepfert, M.; Candas, S.; Kraus, H.; Tzscheutschler, P.; Hamacher, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Spatiotemporal planning of electric vehicle charging infrastructure: Demand estimation and grid-aware optimization under uncertainty",
"doi": "10.1016/j.isci.2025.113368",
"url": "https://doi.org/10.1016/j.isci.2025.113368",
"journal": "iScience",
"year": 2025,
"authors": "Wang, J.; Kaushik, H.; Jacob, R.; Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Earth Grid: Toward a low-carbon energy infrastructure",
"doi": "10.1016/j.isci.2025.113681",
"url": "https://doi.org/10.1016/j.isci.2025.113681",
"journal": "iScience",
"year": 2025,
"authors": "Kumar, A.; HE, X.; Deng, Y.; Sah, B.; Singh, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Coordinated multi-objective optimization scheduling for electric vehicle swapping station cluster and grid",
"doi": "10.1016/j.isci.2025.112444",
"url": "https://doi.org/10.1016/j.isci.2025.112444",
"journal": "iScience",
"year": 2025,
"authors": "Liao, X.; Zheng, Z.; Qian, B.; Wang, H.; Zhan, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model",
"doi": "10.1016/j.isci.2025.112257",
"url": "https://doi.org/10.1016/j.isci.2025.112257",
"journal": "iScience",
"year": 2025,
"authors": "Zheng, Y.; Liu, D.; An, F.; Wang, J.; Gao, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Adaptive singular spectral decomposition hybrid framework with quadratic error correction for wind power prediction",
"doi": "10.1016/j.isci.2025.112360",
"url": "https://doi.org/10.1016/j.isci.2025.112360",
"journal": "iScience",
"year": 2025,
"authors": "Mai, C.; Zhang, L.; Behar, O.; Hu, X.; Chao, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A novel axial-type wind harvester design with zero-voltage-threshold mechanical rectifier",
"doi": "10.1016/j.isci.2025.112737",
"url": "https://doi.org/10.1016/j.isci.2025.112737",
"journal": "iScience",
"year": 2025,
"authors": "Lu, H.; Zhuo, J.; Liu, J.; Liu, W.; Dong, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Resource substitutability path for China’s energy storage between lithium and vanadium",
"doi": "10.1016/j.isci.2025.112462",
"url": "https://doi.org/10.1016/j.isci.2025.112462",
"journal": "iScience",
"year": 2025,
"authors": "Zhu, Y.; Ye, X.; Ali, S.; Dou, S.; Cheng, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electrodeposition of manganese oxide and poly(s-triazine) composites for aqueous electrochemical energy storage",
"doi": "10.1016/j.isci.2025.113406",
"url": "https://doi.org/10.1016/j.isci.2025.113406",
"journal": "iScience",
"year": 2025,
"authors": "Pei, S.; Lan, B.; Bai, X.; Yi, X.; Sun, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploring irradiated granular flows with rapid heating for concentrated solar thermal energy collection and storage",
"doi": "10.1016/j.isci.2025.112164",
"url": "https://doi.org/10.1016/j.isci.2025.112164",
"journal": "iScience",
"year": 2025,
"authors": "Jeong, S.; Ranjan, D.; Zhang, Z.; Loutzenhiser, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Deciphering decarbonization trajectories in China by spatiotemporal-accumulation modeling of electricity carbon footprint",
"doi": "10.1016/j.isci.2025.111963",
"url": "https://doi.org/10.1016/j.isci.2025.111963",
"journal": "iScience",
"year": 2025,
"authors": "Tang, J.; Shan, R.; Wang, P.; Chen, W.; Gu, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Urban Carbon Footprint",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Ni-doped 3D-printed honeycomb carbon microlattices: Sustainable fabrication and functionalization of microarchitected carbon",
"doi": "10.1016/j.isci.2025.112718",
"url": "https://doi.org/10.1016/j.isci.2025.112718",
"journal": "iScience",
"year": 2025,
"authors": "Kudo, A.; Eguchi, K.; Fujita, A.; Kamohara, S.; Matsuhashi, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Environmental impacts of restructuring the EU’s natural gas supply and consumption: Learnings from the 2022 energy crisis",
"doi": "10.1016/j.isci.2024.111575",
"url": "https://doi.org/10.1016/j.isci.2024.111575",
"journal": "iScience",
"year": 2025,
"authors": "Santos, L.; Istrate, R.; Mac Dowell, N.; Guillén-Gosálbez, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Translatable reporting of energy demand and rates in electrochemical carbon capture",
"doi": "10.1016/j.isci.2025.111781",
"url": "https://doi.org/10.1016/j.isci.2025.111781",
"journal": "iScience",
"year": 2025,
"authors": "Boualavong, J.; Gorski, C.; Liu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A hybrid demand-side policy for balanced economic emission in microgrid systems",
"doi": "10.1016/j.isci.2025.112121",
"url": "https://doi.org/10.1016/j.isci.2025.112121",
"journal": "iScience",
"year": 2025,
"authors": "Singh, A.; Dey, B.; Misra, S.; Kumar, R.; Bajaj, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Scale-dependent drivers of ecosystem service supply-flow-demand couplings in the Shanxi Yellow River Basin, China",
"doi": "10.1016/j.isci.2025.114002",
"url": "https://doi.org/10.1016/j.isci.2025.114002",
"journal": "iScience",
"year": 2025,
"authors": "Wu, S.; Li, R.; Yan, Y.; Du, Z.; Wu, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emerging demand-side flexible resources accelerate China’s power system transition toward carbon neutrality",
"doi": "10.1016/j.isci.2025.112372",
"url": "https://doi.org/10.1016/j.isci.2025.112372",
"journal": "iScience",
"year": 2025,
"authors": "Wei, H.; Zhang, N.; Du, E.; Jiang, H.; Zhuo, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increasing atmospheric evaporative demand across the Tibetan plateau and implications for surface water resources",
"doi": "10.1016/j.isci.2025.112598",
"url": "https://doi.org/10.1016/j.isci.2025.112598",
"journal": "iScience",
"year": 2025,
"authors": "Xu, S.; Lettenmaier, D.; McVicar, T.; Gentine, P.; Beck, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Open-flask, ambient temperature direct arylation synthesis of mixed ionic-electronic conductors",
"doi": "10.1126/sciadv.adv8168",
"url": "https://doi.org/10.1126/sciadv.adv8168",
"journal": "Science Advances",
"year": 2025,
"authors": "Kimpel, J.; Kim, Y.; Schomaker, H.; Hinojosa, D.; Asatryan, J.",
"abstract": "\n Conjugated polymers are widely studied for application areas ranging from energy technology to wearable electronics and bioelectronics. To develop a truly sustainable technology, environmentally benign synthesis is essential. Here, the open-flask synthesis of a multitude of conjugated polymers at room temperature by ambient direct arylation polymerization (ADAP) is demonstrated. The batch synthesis of over 100 grams of polymer in a green solvent and continuous droplet flow synthesis",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A photovoltaic-electrolysis system with high solar-to-hydrogen efficiency under practical current densities",
"doi": "10.1126/sciadv.ads0836",
"url": "https://doi.org/10.1126/sciadv.ads0836",
"journal": "Science Advances",
"year": 2025,
"authors": "Zhang, Q.; Shan, Y.; Pan, J.; Kumar, P.; Keevers, M.",
"abstract": "\n The photovoltaic-alkaline water (PV-AW) electrolysis system offers an appealing approach for large-scale green hydrogen generation. However, current PV-AW systems suffer from low solar-to-hydrogen (STH) conversion efficiencies (e.g., <20%) at practical current densities (e.g., >100 mA cm\n −2\n ), rendering the produced H\n 2\n not economical. Here, we designed and developed a highly efficient PV-AW system that mainly consists of a custo",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Ultrafast energy transfer beyond the Förster approximation in organic photovoltaic blends with non-fullerene acceptors",
"doi": "10.1126/sciadv.adr5973",
"url": "https://doi.org/10.1126/sciadv.adr5973",
"journal": "Science Advances",
"year": 2025,
"authors": "Ouyang, Y.; Wang, R.; Wang, X.; Xiao, M.; Zhang, C.",
"abstract": "Recent studies on organic photovoltaic (OPV) systems have highlighted the critical role of energy transfer in excited-state dynamics. This process has traditionally been explained through the model of long-range Förster resonance energy transfer (FRET). In this study, we demonstrate a donor-to-acceptor short-range energy transfer (SRET) mechanism in OPV blends with non-fullerene acceptors, extending beyond the Förster approximation. This SRET occurs as a two-step process mediated by interfacial ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The role of offshore wind and solar PV resources in global low-carbon transition",
"doi": "10.1126/sciadv.adx5580",
"url": "https://doi.org/10.1126/sciadv.adx5580",
"journal": "Science Advances",
"year": 2025,
"authors": "Wen, Y.; Wu, J.; Lin, P.; Low, Y.",
"abstract": "\n With challenges such as land availability and regulatory constraints, offshore renewable energy sector is poised to play a pivotal role in the transition to a low-carbon future. Among offshore technologies, wind and solar photovoltaic (PV) have emerged as the most promising solutions. However, a global assessment of offshore resources, particularly solar PV, remains lacking. Hence, we identify suitable areas for offshore wind and solar PV development on the basis of economic",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Carbon catalysts for CO\n 2\n conversion: From carbon emissions to zero-carbon solutions",
"doi": "10.1126/sciadv.ady9164",
"url": "https://doi.org/10.1126/sciadv.ady9164",
"journal": "Science Advances",
"year": 2025,
"authors": "Xia, Z.; Jin, H.; Zheng, Y.; Jiao, Y.; Qiao, S.",
"abstract": "\n For millions of years, Earth’s carbon cycle remained stable, but anthropogenic emissions drive severe air pollution and climate change. Addressing this crisis necessitates innovative decarbonization strategies, where carbon catalysts emerge as an innovative solution, replacing critical minerals for zero-carbon emissions. These catalysts can be synthesized from carbon dioxide and used to convert feedstocks into valuable chemicals and fuels, reducing energy demands and emissio",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Continued permafrost ecosystem carbon loss under net-zero and negative emissions",
"doi": "10.1126/sciadv.adn8819",
"url": "https://doi.org/10.1126/sciadv.adn8819",
"journal": "Science Advances",
"year": 2025,
"authors": "Park, S.; Mun, J.; Lee, H.; Steinert, N.; An, S.",
"abstract": "The loss of ecosystem carbon (the sum of vegetation, litter, and soil carbon) may occur in a permafrost region under mitigation pathways, which could reduce the efficiency of carbon dioxide removal. Here, we investigate changes in permafrost under net-zero and negative emissions, based on idealized emission-driven simulations using a state-of-the-art Earth system model. While acting as a net ecosystem carbon sink during most of the positive emission phase, permafrost becomes a net ecosystem carb",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Soil carbon formation is promoted by saturation deficit and existing mineral-associated carbon, not by microbial carbon-use efficiency",
"doi": "10.1126/sciadv.adv9482",
"url": "https://doi.org/10.1126/sciadv.adv9482",
"journal": "Science Advances",
"year": 2025,
"authors": "King, A.; Sokol, N.",
"abstract": "Mineral-associated organic carbon (MAOC) is the largest terrestrial pool of organic carbon, yet controls on its formation remain unresolved. Existing MAOC is thought to preclude additional C storage on minerals, but this perspective is difficult to reconcile with observations that MAOC stacks in multilayers, suggesting that existing MAOC could promote greater C retention. Here, in a manipulative experiment using 118 soils from 15 agricultural sites across the United States, we show that MAOC for",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Anaerobic methane oxidation coupled with denitrification mitigates soil nitrous oxide emissions",
"doi": "10.1126/sciadv.adv1410",
"url": "https://doi.org/10.1126/sciadv.adv1410",
"journal": "Science Advances",
"year": 2025,
"authors": "Li, R.; Yuan, Y.; Xi, B.; Tan, W.",
"abstract": "\n The impact of anaerobic oxidation of methane (AOM) coupled with denitrification on the emission of the denitrification intermediate N\n 2\n O remains poorly understood. Here, we investigated the influence of AOM coupled with nitrate and nitrite reduction on soil N\n 2\n O emissions and the associated microbial interactions. We show that AOM coupled with denitrification markedly reduces soil N\n 2\n O emissions, with the typ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying effects of solar power adoption on CO\n 2\n emissions reduction",
"doi": "10.1126/sciadv.adq5660",
"url": "https://doi.org/10.1126/sciadv.adq5660",
"journal": "Science Advances",
"year": 2025,
"authors": "Biswas, A.; Qiu, M.; Braun, D.; Dominici, F.; Mork, D.",
"abstract": "\n We quantify the effect of solar power adoption in reducing carbon dioxide (CO\n 2\n ) emissions from the US electricity sector using 5 years of Energy Information Administration data, starting 1 July 2018. By tailoring a distributed lag statistical model, we estimate the immediate and time-lagged effects of increased solar generation on reducing CO\n 2\n emissions within a region. Our analysis highlights how solar adoption in one region affect",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Negligible contribution from aerosols to recent trends in Earth’s energy imbalance",
"doi": "10.1126/sciadv.adv9429",
"url": "https://doi.org/10.1126/sciadv.adv9429",
"journal": "Science Advances",
"year": 2025,
"authors": "Park, C.; Soden, B.",
"abstract": "During the 21st century, Earth’s energy imbalance (EEI) at the top of atmosphere has markedly increased because of greater absorbed shortwave (SW) rather than reduced outgoing longwave radiation. Previous studies using single-forcing (aerosol-only) experiments attributed approximately half of the positive SW trend to reductions in anthropogenic aerosols, particularly in the Northern Hemisphere (NH). In contrast, our analysis using observations and reanalysis indicates that both aerosol-radiation",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nuclear quantum effects slow down the energy transfer in biological light-harvesting complexes",
"doi": "10.1126/sciadv.adw4798",
"url": "https://doi.org/10.1126/sciadv.adw4798",
"journal": "Science Advances",
"year": 2025,
"authors": "Runeson, J.; Manolopoulos, D.",
"abstract": "We assess how quantum-mechanical effects associated with high-frequency chromophore vibrations influence excitation energy transfer in biological light-harvesting complexes. After defining a classical nuclear limit that is consistent with the quantum-classical equilibrium, we include nuclear quantum effects through a variational polaron transformation of the high-frequency vibrational modes. This approach is validated by comparison with fully quantum-mechanical benchmark calculations and applied",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Spatiotemporal toughness modulation in hydrogels through on-demand cross-linking",
"doi": "10.1126/sciadv.adz0440",
"url": "https://doi.org/10.1126/sciadv.adz0440",
"journal": "Science Advances",
"year": 2025,
"authors": "Lee, J.; Castilho, R.; Nam, S.",
"abstract": "\n Tough hydrogels are promising for soft robotics, bioelectronics, and tissue adhesives due to their exceptional resilience and biocompatibility, yet precise spatiotemporal control of their mechanics remains challenging. Here, we present a hydrogel platform that enables spatiotemporal modulation of toughness through a latent ionic cross-linking mechanism. By embedding calcium carbonate (CaCO\n 3\n ) microparticles in alginate/polyacrylamide double-network hydrogels",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On-demand heralded MIR single-photon source using a cascaded quantum system",
"doi": "10.1126/sciadv.adr9239",
"url": "https://doi.org/10.1126/sciadv.adr9239",
"journal": "Science Advances",
"year": 2025,
"authors": "Iles-Smith, J.; Svendsen, M.; Rubio, A.; Wubs, M.; Stenger, N.",
"abstract": "We propose a mechanism for generating single photons in the mid-infrared (MIR) using a solid-state or molecular quantum emitter. The scheme uses cavity quantum electrodynamics (QED) effects to selectively enhance a Frank-Condon transition, deterministically preparing a single Fock state of a polar phonon mode. By coupling the phonon mode to an antenna, the resulting excitation is then radiated to the far field as a single photon with a frequency matching the phonon mode. By combining macroscopic",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nanoseed-based physically unclonable function for on-demand encryption",
"doi": "10.1126/sciadv.adt7527",
"url": "https://doi.org/10.1126/sciadv.adt7527",
"journal": "Science Advances",
"year": 2025,
"authors": "Ahn, J.; Park, T.; Kang, T.; Im, S.; Seo, H.",
"abstract": "\n A physically unclonable function (PUF) is a promising hardware-based cryptographic primitive to prevent confidential information leakage. However, conventional techniques, such as weak and strong PUFs, have limitations in overcoming the trade-off between security and storage volume. This study introduces nanoseed-based PUFs that overcome the drawbacks of conventional PUFs using optical and electrical randomness originated from nanoseeds and a unique on-demand cryptographic algorithm",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Bacterially grown living materials with resistant and on-demand functionality",
"doi": "10.1126/sciadv.adw8278",
"url": "https://doi.org/10.1126/sciadv.adw8278",
"journal": "Science Advances",
"year": 2025,
"authors": "Oh, J.; van der Linden, F.; Malcı, K.; van der Valk, R.; Ellis, T.",
"abstract": "\n Inspired by naturally occurring biomaterials, autonomously grown engineered living materials (ELMs) feature cell-driven growth and programmable biological functions. However, the “livingness” of cells poses a short life span and low tolerance to harsh conditions, limiting the practical use of such materials. Here, we developed materials with programmable and dormant functionalities, grown from a mixture of\n Komagataeibacter rhaeticus\n and\n Bacillus\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vector analog computing via on-demand metasurface dispersive polarization transformation",
"doi": "10.1126/sciadv.adz5123",
"url": "https://doi.org/10.1126/sciadv.adz5123",
"journal": "Science Advances",
"year": 2025,
"authors": "Yang, H.; Xu, J.; Peng, M.; He, H.; Jiang, Y.",
"abstract": "Optical analog computing can potentially feature high-throughput parallel processing with ultralow power and high speed and is promising for efficient signal processing. Previous platforms have mainly focused on scalar computing with optical intensities, which is highly sensitive to environmental disturbance and has been primarily restricted to single or basic computations because of intrinsic fixed correlation between the input and output signals. To our knowledge, for the first time, we use po",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Large-area radiation-modulated thermoelectric fabrics for high-performance thermal management and electricity generation",
"doi": "10.1126/sciadv.adr2158",
"url": "https://doi.org/10.1126/sciadv.adr2158",
"journal": "Science Advances",
"year": 2025,
"authors": "Liu, J.; Jiang, W.; Zhuo, S.; Rong, Y.; Li, Y.",
"abstract": "\n Flexible thermoelectric systems capable of converting human body heat or solar heat into sustainable electricity are crucial for the development of self-powered wearable electronics. However, challenges persist in maintaining a stable temperature gradient and enabling scalable fabrication for their commercialization. Herein, we present a facile approach involving the screen printing of large-scale carbon nanotube (CNT)–based thermoelectric arrays on conventional textile. These array",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Smart ultra-long-lasting sequentially triggerable and artfully implantable nozzle system for on-demand drug delivery for chronotherapy",
"doi": "10.1126/sciadv.adv8734",
"url": "https://doi.org/10.1126/sciadv.adv8734",
"journal": "Science Advances",
"year": 2025,
"authors": "Zeng, Q.; Gong, Y.; Jiao, W.; Xu, J.; Chen, X.",
"abstract": "\n Conventional drug delivery methods for chronic disease often suffer from low potency and poor patient compliance, while current advanced devices face limitations because of bulkiness, frequent implantation needs, inflammation risk, and lack of precise control. To overcome these challenges, we developed the SUSTAIN—a smart, ultra-long-lasting, sequentially triggerable, and artfully implantable nozzle system. The SUSTAIN integrates an osmotic pressure–triggered module, an airflow-gene",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Decreasing importance of carbon-climate feedbacks in the Southern Ocean in a warming climate",
"doi": "10.1126/sciadv.adr3589",
"url": "https://doi.org/10.1126/sciadv.adr3589",
"journal": "Science Advances",
"year": 2025,
"authors": "Jarníková, T.; Le Quéré, C.; Rumbold, S.; Jones, C.",
"abstract": "\n The Southern Ocean is an important CO\n 2\n sink, mitigating climate change, but its future evolution is uncertain due to the confounding effects of stratospheric ozone recovery and climate change on ocean circulation. Using an Earth System Model, we quantify the relative influence of ozone-depleting substances and greenhouse gas emissions on this sink from 1950 to 2100. Ozone effects dominated changes in ocean circulation during 1950–2000, but not this century, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate mitigation potential for targeted forestation after considering climate change, fires, and albedo",
"doi": "10.1126/sciadv.adn7915",
"url": "https://doi.org/10.1126/sciadv.adn7915",
"journal": "Science Advances",
"year": 2025,
"authors": "Liang, S.; Ziegler, A.; Reich, P.; Zhu, K.; Wang, D.",
"abstract": "\n Afforestation and reforestation, both of which refer to forestation strategies, are widely promoted as key tools to mitigate anthropogenic warming. However, the carbon sequestration potential of these efforts remains uncertain in satellite-based assessments, particularly when accounting for dynamic climate conditions, vegetation-climate feedback, fire-dominated disturbance, and the trade-offs associated with surface albedo changes. Leveraging a coupled Earth system model, we estimat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Volcanic emission of reduced sulfur species shaped the climate of early Mars",
"doi": "10.1126/sciadv.adr9635",
"url": "https://doi.org/10.1126/sciadv.adr9635",
"journal": "Science Advances",
"year": 2025,
"authors": "Bellino, L.; Sun, C.",
"abstract": "\n Sulfur and other volatiles could be transported from the martian interior to surface through magmatic processes, including mantle melting, magma differentiation, and degassing. However, these processes were not fully integrated in past sulfur cycling models because of complexity from the gas-melt interactions in chemically and dynamically evolving magmatic systems with multicomponent volatiles. Here, we incorporate these processes to simulate how sulfur, carbon, and hydrogen degas f",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Experimental characterization of complex atmospheric flows: A wind turbine wake case study",
"doi": "10.1126/sciadv.adw8524",
"url": "https://doi.org/10.1126/sciadv.adw8524",
"journal": "Science Advances",
"year": 2025,
"authors": "Angelou, N.; Sjöholm, M.; Mikkelsen, T.",
"abstract": "Our current understanding of the interaction between the atmosphere and surface obstacles crucial for boundary-layer meteorology, forestry, urban climate, wind engineering, and wind energy is limited mainly to observations acquired in wind tunnel experiments and flow predictions from computational fluid dynamic models. Here, as a case study, we present spatially distributed measurements of a utility-scale wind turbine’s wake using three wind lidars that synchronously scan a volume of the atmosph",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Sea surface warming and ocean-to-atmosphere feedback driven by large-scale offshore wind farms under seasonally stratified conditions",
"doi": "10.1126/sciadv.adw7603",
"url": "https://doi.org/10.1126/sciadv.adw7603",
"journal": "Science Advances",
"year": 2025,
"authors": "Seo, H.; Sauvage, C.; Renkl, C.; Lundquist, J.; Kirincich, A.",
"abstract": "Offshore wind farms may induce changes in the upper ocean and near-surface atmosphere through coupled ocean-atmosphere feedbacks. Yet, the role of air-sea interactions mediated by offshore wind farms remains poorly understood. Using fully coupled ocean-atmosphere-wave model simulations for seasonally stratified conditions along the US East Coast, we show that simulated cumulative reductions in wind stress due to large-scale wind farm clusters lead to sea surface warming of 0.3° to 0.4°C and a sh",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Flash annealing–engineered wafer-scale relaxor antiferroelectrics for enhanced energy storage performance",
"doi": "10.1126/sciadv.ady2349",
"url": "https://doi.org/10.1126/sciadv.ady2349",
"journal": "Science Advances",
"year": 2025,
"authors": "Li, Y.; Song, K.; Zhu, M.; Li, X.; Zeng, Z.",
"abstract": "\n Dielectric capacitors are essential for energy storage systems because of their high-power density and fast operation speed. However, optimizing energy storage density with concurrent thermal stability remains a substantial challenge. Here, we develop a flash annealing process with ultrafast heating and cooling rates of 1000°C per second, which facilitates the rapid crystallization of PbZrO\n 3\n film within a mere second, while locking it",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ppp1r3b\n is a metabolic switch that shifts hepatic energy storage from lipid to glycogen",
"doi": "10.1126/sciadv.ado3440",
"url": "https://doi.org/10.1126/sciadv.ado3440",
"journal": "Science Advances",
"year": 2025,
"authors": "Creasy, K.; Mehta, M.; Schneider, C.; Park, J.; Zhang, D.",
"abstract": "\n The\n PPP1R3B\n gene, encoding PPP1R3B protein, is critical for liver glycogen synthesis and maintaining blood glucose levels. Genetic variants affecting\n PPP1R3B\n expression are associated with several metabolic traits and liver disease, but the precise mechanisms are not fully understood. We studied the effects of both\n Ppp1r3b\n overexpression and deletion in mic",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Atomic Sn–incorporated subnanopore-rich hard carbon host for highly reversible quasi-metallic Li storage",
"doi": "10.1126/sciadv.ads6483",
"url": "https://doi.org/10.1126/sciadv.ads6483",
"journal": "Science Advances",
"year": 2025,
"authors": "Jin, T.; Zhang, X.; Yuan, S.; Yu, L.",
"abstract": "\n The practical application of Li metal anodes has been hindered by severely irreversible side reactions for low Coulombic efficiency, uncontrollable growth of Li dendrites, and large volume change. Herein, we report subnanopore-rich carbon spheres encapsulated with Sn single atoms (Sn/CS@SC) as a Li host to address these challenges. Owing to the high Li affinity of Sn single atoms, Sn/CS@SC can promote storage of quasi-metallic Li within the inner void space other than direct plating",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The potential of wastewater treatment on carbon storage through ocean alkalinity enhancement",
"doi": "10.1126/sciadv.ads0313",
"url": "https://doi.org/10.1126/sciadv.ads0313",
"journal": "Science Advances",
"year": 2025,
"authors": "Zheng, L.; Hu, Y.; Su, B.; Chen, Q.; Liu, J.",
"abstract": "\n Ocean alkalinity enhancement (OAE) implemented through wastewater treatment plants increases the alkalinity of the effluents and discharges them into the ocean, referred to as wastewater-based OAE. However, the alkalization capability and its carbon storage stability when adding alkaline minerals to wastewater treatment are uncertain. In this study, total alkalinity was enhanced to more than 10 millimoles per kilogram and phosphate removal was improved when we added olivine to waste",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Crustal to mantle melt storage during the evolution of Hawaiian volcanoes",
"doi": "10.1126/sciadv.adu9332",
"url": "https://doi.org/10.1126/sciadv.adu9332",
"journal": "Science Advances",
"year": 2025,
"authors": "Gazel, E.; Dayton, K.; Liang, W.; Hua, J.; Lynn, K.",
"abstract": "As the Pacific Plate migrates over the mantle plume below Hawaiʻi, magma flux decreases, resulting in changes in eruptive volume, style, and composition. It is thought that melt storage becomes deeper and ephemeral with the transition from highly voluminous tholeiitic (shield stage) to the less voluminous alkaline (post-shield and rejuvenation stages) magmatism. To quantitatively test this, we applied high-precision fluid inclusion barometry via Raman spectroscopy to samples from representative ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Robust increase in observed heat storage by the global subsurface",
"doi": "10.1126/sciadv.adw9958",
"url": "https://doi.org/10.1126/sciadv.adw9958",
"journal": "Science Advances",
"year": 2025,
"authors": "Cuesta-Valero, F.; García-García, A.; Beltrami, H.; García-Pereira, F.; González-Rouco, J.",
"abstract": "Changes in heat storage within the different components of the climate system alter physical and biogeochemical phenomena relevant for human societies and ecosystems. Among such processes, permafrost thawing, soil carbon storage, and surface energy exchanges depend on the persistent heat gain by the continental subsurface. Nevertheless, there are not enough data to estimate ground heat storage at the global scale after the year 2000. We solve this problem by expanding the database of geothermal ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A compact cassette tape for DNA-based data storage",
"doi": "10.1126/sciadv.ady3406",
"url": "https://doi.org/10.1126/sciadv.ady3406",
"journal": "Science Advances",
"year": 2025,
"authors": "Li, J.; Mao, C.; Wang, S.; Li, X.; Luo, X.",
"abstract": "\n DNA with high storage density can serve as an alternative storage medium to respond to the global explosion of data growth and become a powerful personal storage memory if an integrated compact device can store and handle large-scale data. Here, we incorporate a DNA cassette tape with 5.5 × 10\n 5\n addressable data partitions (addressing rate up to 1570 partitions per second), a DNA loading capacity of 28.6 mg per kilometer, and deposit-many-recover-many (DMRM) ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Extending tetrahedral network similarity to carbon: A type-I carbon clathrate stabilized by boron",
"doi": "10.1126/sciadv.adv6867",
"url": "https://doi.org/10.1126/sciadv.adv6867",
"journal": "Science Advances",
"year": 2025,
"authors": "Strobel, T.; Bi, T.; Guńka, P.; Hansen, M.; Hübner, J.",
"abstract": "\n Clathrates are guest/host framework compounds composed of polyhedral cages, yet despite their prevalence among tetrahedral network formers, clathrates with a carbon host lattice remain unrealized synthetic targets. Here, we report a type-I carbon-based framework—a ubiquitous clathrate structure type found throughout compounds containing tetrahedral building blocks. Following a boron-stabilization scheme based on first-principles predictions in the Ca–B–C system at high pressure, typ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Liquid palladium for high-turnover carbon-carbon bond formation",
"doi": "10.1126/sciadv.adt9037",
"url": "https://doi.org/10.1126/sciadv.adt9037",
"journal": "Science Advances",
"year": 2025,
"authors": "Al Banna, M.; Flores, N.; Zhou, Z.; Meftahi, N.; Russo, S.",
"abstract": "\n Carbon-carbon (C─C) bond formation is a key step in diverse chemical processes and requires high-performance catalysts to enable energy-efficient technologies. Here, we present liquid Pd catalysts, formed by dissolving Pd in liquid Ga, for high-turnover C─C coupling reactions. The liquid Pd catalyst achieved a turnover frequency of 2.5 × 10\n 8\n hour\n −1\n for a model coupling reaction at 70°C, surpassing all reported Pd catalysts by 1000-fo",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CMOS-compatible flash-gated thyristor–based neuromorphic module with small area and low energy consumption for in-memory computing",
"doi": "10.1126/sciadv.adt8227",
"url": "https://doi.org/10.1126/sciadv.adt8227",
"journal": "Science Advances",
"year": 2025,
"authors": "Ko, J.; Im, J.; Kim, J.; Shin, W.; Koo, R.",
"abstract": "In-memory computing (IMC) is a technology that enables efficient analog vector-matrix multiplication (VMM). This field has been extensively researched to overcome the performance bottlenecks associated with traditional von Neumann architectures. In addition to analog VMM, combining efficient neuromorphic modules with memory is essential to enable a broader range of IMC operations. Here, we propose a complementary metal-oxide semiconductor (CMOS)–compatible flash-gated thyristor–based neuromorphi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CaRDS - the statewide California Residential water Demand and Supply open dataset",
"doi": "10.1038/s41597-024-03474-y",
"url": "https://doi.org/10.1038/s41597-024-03474-y",
"journal": "Scientific Data",
"year": 2024,
"authors": "Gross, M.; Escriva-Bou, A.; Porse, E.; Cominola, A.",
"abstract": "AbstractAs water scarcity becomes the new norm in the Western United States, states such as California have increased their efforts to improve water resilience. Achieving water security under climate change, population growth, and urbanization requires an integrated multi-sectoral approach, where adaptation strategies combine supply and demand management interventions. Yet, most studies consider supply-side and demand-side management strategies separately. Water conservation efforts are mainly d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems",
"doi": "10.1038/s41597-024-04244-6",
"url": "https://doi.org/10.1038/s41597-024-04244-6",
"journal": "Scientific Data",
"year": 2024,
"authors": "Liao, W.; Jin, X.; Ran, Y.; Xiao, F.; Gao, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vectorized solar photovoltaic installation dataset across China in 2015 and 2020",
"doi": "10.1038/s41597-024-04356-z",
"url": "https://doi.org/10.1038/s41597-024-04356-z",
"journal": "Scientific Data",
"year": 2024,
"authors": "Liu, J.; Wang, J.; Li, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A Multi-Decadal Hourly Coincident Wind and Solar Power Production Dataset for the Contiguous United States",
"doi": "10.1038/s41597-024-03894-w",
"url": "https://doi.org/10.1038/s41597-024-03894-w",
"journal": "Scientific Data",
"year": 2024,
"authors": "Campbell, A.; Bracken, C.; Underwood, S.; Voisin, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022",
"doi": "10.1038/s41597-024-04101-6",
"url": "https://doi.org/10.1038/s41597-024-04101-6",
"journal": "Scientific Data",
"year": 2024,
"authors": "Tao, S.; Chen, J.; Zhang, Z.; Zhang, Y.; Ju, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Intra-Individual Paired Mass Spectrometry Dataset for Decoding Solar-Induced Proteomic Changes in Facial Skin",
"doi": "10.1038/s41597-024-03231-1",
"url": "https://doi.org/10.1038/s41597-024-03231-1",
"journal": "Scientific Data",
"year": 2024,
"authors": "Camillo-Andrade, A.; Santos, M.; Nuevo, P.; Lajas, A.; Sales, L.",
"abstract": "AbstractPhotoaging is the premature aging of the skin caused by prolonged exposure to solar radiation. The visual alterations manifest as wrinkles, reduced skin elasticity, uneven skin tone, as well as other signs that surpass the expected outcomes of natural aging. Beyond these surface changes, there is a complex interplay of molecular alterations, encompassing shifts in cellular function, DNA damage, and protein composition disruptions. This data descriptor introduces a unique dataset derived ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A two-year dataset of energy, environment, and system operations for an ultra-low energy office building",
"doi": "10.1038/s41597-024-03770-7",
"url": "https://doi.org/10.1038/s41597-024-03770-7",
"journal": "Scientific Data",
"year": 2024,
"authors": "Han, J.; Malkawi, A.; Han, X.; Lim, S.; Chen, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A thermosurvey dataset: Older adults’ experiences and adaptation to urban heat and climate change",
"doi": "10.1038/s41597-024-03509-4",
"url": "https://doi.org/10.1038/s41597-024-03509-4",
"journal": "Scientific Data",
"year": 2024,
"authors": "Jancewicz, B.; Wrotek, M.",
"abstract": "AbstractWe introduce the thermosurvey dataset, a comprehensive collection focusing on the thermal comfort, heat-related experiences, health, socioeconomic status, and perceptions of older adults (aged 65 and over) in Warsaw and Madrid. The two cities differ greatly in their heat experiences, but due to climate change, both face increasing temperatures. The study aimed to understand how heat affects cities’ older adult population and how we can better adapt to rising temperatures. We call the stu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "City-level building operation and end-use carbon emissions dataset from China for 2015–2020",
"doi": "10.1038/s41597-024-02971-4",
"url": "https://doi.org/10.1038/s41597-024-02971-4",
"journal": "Scientific Data",
"year": 2024,
"authors": "Yu, Y.; You, K.; Cai, W.; Feng, W.; Li, R.",
"abstract": "AbstractsThe building sector, which accounts for over 20% of China’s total energy-related carbon emissions, has great potential to reduce emissions and is critical to achieving China’s emissions peak and carbon neutrality targets. However, the lack of data on operational carbon emissions and end-use carbon emissions in the building sector at the city level has become a major barrier to the development of building energy conservation policies and carbon peaking action plans. This study uses a com",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Emissions-weighted carbon price: sources and methods",
"doi": "10.1038/s41597-024-03121-6",
"url": "https://doi.org/10.1038/s41597-024-03121-6",
"journal": "Scientific Data",
"year": 2024,
"authors": "Dolphin, G.; Merkle, M.",
"abstract": "AbstractThis note describes the sources and methods used to calculate the emissions-weighted carbon price (ECP), the average price applied to CO2 emissions across all sources of emissions within a territorial jurisdiction by all carbon pricing mechanisms in force. It provides a transparent summary of the stringency of carbon pricing mechanisms in force within a given jurisdiction and allows for a straightforward comparison of that stringency across jurisdictions. It also describes the methodolog",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A city-level dataset of heavy metal emissions into the atmosphere across China from 2015–2020",
"doi": "10.1038/s41597-024-03089-3",
"url": "https://doi.org/10.1038/s41597-024-03089-3",
"journal": "Scientific Data",
"year": 2024,
"authors": "Dong, Q.; Li, Y.; Wei, X.; Jiao, L.; Wu, L.",
"abstract": "AbstractThe absence of nationwide distribution data regarding heavy metal emissions into the atmosphere poses a significant constraint in environmental research and public health assessment. In response to the critical data deficiency, we have established a dataset covering Cr, Cd, As, and Pb emissions into the atmosphere (HMEAs, unit: ton) across 367 municipalities in China. Initially, we collected HMEAs data and covariates such as industrial emissions, vehicle emissions, meteorological variabl",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "County-level intensity of carbon emissions from crop farming in China during 2000–2019",
"doi": "10.1038/s41597-024-03296-y",
"url": "https://doi.org/10.1038/s41597-024-03296-y",
"journal": "Scientific Data",
"year": 2024,
"authors": "Li, C.; Jia, J.; Wu, F.; Zuo, L.; Cui, X.",
"abstract": "AbstractAgriculture is an important contributor to global carbon emissions. With the implementation of the Sustainable Development Goals of the United Nations and China’s carbon neutral strategy, accurate estimation of carbon emissions from crop farming is essential to reduce agricultural carbon emissions and promote sustainable food production systems in China. However, previous long-term time series estimates in China have mainly focused on the national and provincial levels, which are insuffi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A global dataset of carbon pumping by the world’s largest tropical rivers",
"doi": "10.1038/s41597-024-03201-7",
"url": "https://doi.org/10.1038/s41597-024-03201-7",
"journal": "Scientific Data",
"year": 2024,
"authors": "Salerno, L.; Giulio Tonolo, F.; Camporeale, C.",
"abstract": "Abstract\n The eco-morphodynamic activity of large tropical rivers interacts with riparian vegetation causing implications for the carbon cycle within inland waters. Through a multi-temporal analysis of satellite data spanning the years 2000–2019, we analyzed rivers exceeding 200 m in width across the tropical regions, revealing a Carbon Pump mechanism driving an annual mobilization of 12.45 million tons of organic carbon. The study identifies fluvial eco-morphological signatures",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A global dataset of biochar application effects on crop yield, soil properties, and greenhouse gas emissions",
"doi": "10.1038/s41597-023-02867-9",
"url": "https://doi.org/10.1038/s41597-023-02867-9",
"journal": "Scientific Data",
"year": 2024,
"authors": "Li, X.; Wu, D.; Liu, X.; Huang, Y.; Cai, A.",
"abstract": "AbstractBiochar application is widely studied to mitigate the threats of soil degradation to food security and climate change. However, there are big variations in the effects of biochar application on crops, soils, and the atmosphere during crop production. This study provides a global dataset of biochar application effects on crop yield, soil properties, and greenhouse emissions. The dataset is extracted and integrated from 367 peer-reviewed studies with 891 independent field, laboratory, and ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: A global dataset of carbon pumping by the world’s largest tropical rivers",
"doi": "10.1038/s41597-024-03516-5",
"url": "https://doi.org/10.1038/s41597-024-03516-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Salerno, L.; Giulio Tonolo, F.; Camporeale, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Scope 2 estimates of carbon dioxide emissions from electricity consumption at the US census block group scale",
"doi": "10.1038/s41597-024-04180-5",
"url": "https://doi.org/10.1038/s41597-024-04180-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Gurney, K.; Dass, P.; Kato, A.; Mitra, B.; Nematchoua, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "China’s low-carbon policy intensity dataset from national- to prefecture-level over 2007–2022",
"doi": "10.1038/s41597-024-03033-5",
"url": "https://doi.org/10.1038/s41597-024-03033-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Dong, X.; Wang, C.; Zhang, F.; Zhang, H.; Xia, C.",
"abstract": "AbstractLow-carbon policies are essential for facilitating manufacturing industries’ low-carbon transformation and achieving carbon neutrality in China. However, recent studies usually apply proxy variables to quantify policies, while composite indices of policy intensity measured by objectives and instruments focus more on the national level. It is deficient in direct and comprehensive quantification for low-carbon policies. Hence, having extended the meaning of policy intensity, this paper con",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A comprehensive city-level final energy consumption dataset including renewable energy for China, 2005–2021",
"doi": "10.1038/s41597-024-03529-0",
"url": "https://doi.org/10.1038/s41597-024-03529-0",
"journal": "Scientific Data",
"year": 2024,
"authors": "Yang, G.; Zhang, G.; Cao, D.; Gao, X.; Wang, X.",
"abstract": "AbstractThe role of China is increasingly pivotal in climate change mitigation, and the formulation of energy conservation and emission reduction policies requires city-level information. The effectiveness of national policy implementation is contingent upon the support and involvement of local governments. Accurate data on final energy consumption is vital to formulate and implement city-level energy transitions and energy conservation and emission reduction policies. However, there is a dearth",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Comprehensive Dataset on Electrical Load Profiles for Energy Community in Ireland",
"doi": "10.1038/s41597-024-03454-2",
"url": "https://doi.org/10.1038/s41597-024-03454-2",
"journal": "Scientific Data",
"year": 2024,
"authors": "Trivedi, R.; Bahloul, M.; Saif, A.; Patra, S.; Khadem, S.",
"abstract": "AbstractThis paper describes a comprehensive energy-related dataset, collected from residential electricity households within an energy community in Ireland, as part of StoreNet project. The data includes local weather parameters and per household power (W) and energy (Wh) components for various aspects such as active power consumption, PV generation, grid import and export, charging and discharging, and the state of charge of energy storage. Additionally, it provides weather data for the locati",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CLEMD, a circuit-level electrical measurements dataset for electrical energy management",
"doi": "10.1038/s41597-024-03433-7",
"url": "https://doi.org/10.1038/s41597-024-03433-7",
"journal": "Scientific Data",
"year": 2024,
"authors": "Al-Khadher, O.; Mukhtaruddin, A.; Hashim, F.; Azizan, M.; Mamat, H.",
"abstract": "AbstractEnhancing energy efficiency in commercial buildings is crucial for reducing energy consumption. Achieving this goal requires careful monitoring and analysis of the energy usage patterns exhibited by different devices. Nonetheless, gathering data from individual appliances in commercial buildings presents difficulties due to the large number of appliances, complex installations, and costs. This paper presents the Circuits-Level Electrical Measurements Dataset (CLEMD). The measurement was ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece",
"doi": "10.1038/s41597-024-03208-0",
"url": "https://doi.org/10.1038/s41597-024-03208-0",
"journal": "Scientific Data",
"year": 2024,
"authors": "Athanasoulias, S.; Guasselli, F.; Doulamis, N.; Doulamis, A.; Ipiotis, N.",
"abstract": "AbstractThe growing availability of smart meter data has facilitated the development of energy-saving services like demand response, personalized energy feedback, and non-intrusive-load-monitoring applications, all of which heavily rely on advanced machine learning algorithms trained on energy consumption datasets. To ensure the accuracy and reliability of these services, real-world smart meter data collection is crucial. The Plegma dataset described in this paper addresses this need bfy providi",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Author Correction: The Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece",
"doi": "10.1038/s41597-024-03790-3",
"url": "https://doi.org/10.1038/s41597-024-03790-3",
"journal": "Scientific Data",
"year": 2024,
"authors": "Athanasoulias, S.; Guasselli, F.; Doulamis, N.; Doulamis, A.; Ipiotis, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Urban water and electricity demand data for understanding climate change impacts on the water-energy nexus",
"doi": "10.1038/s41597-024-02930-z",
"url": "https://doi.org/10.1038/s41597-024-02930-z",
"journal": "Scientific Data",
"year": 2024,
"authors": "Obringer, R.; Nateghi, R.; Knee, J.; Madani, K.; Kumar, R.",
"abstract": "AbstractAs the climate crisis intensifies, it is becoming increasingly important to conduct research aimed at fully understanding the climate change impacts on various infrastructure systems. In particular, the water-electricity demand nexus is a growing area of focus. However, research on the water-electricity demand nexus requires the use of demand data, which can be difficult to obtain, especially across large spatial extents. Here, we present a dataset containing over a decade (2007–2018) of",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An electricity smart meter dataset of Spanish households: insights into consumption patterns",
"doi": "10.1038/s41597-023-02846-0",
"url": "https://doi.org/10.1038/s41597-023-02846-0",
"journal": "Scientific Data",
"year": 2024,
"authors": "Quesada, C.; Astigarraga, L.; Merveille, C.; Borges, C.",
"abstract": "AbstractSmart meters are devices that provide detailed information about the energy consumed by specific electricity supply points, such as homes, offices, and businesses. Data from smart meters are useful for modeling energy systems, predicting electricity consumption, and understanding human behavior. We present the first smart meter dataset from Spanish electricity supply points, expanding the geographic diversity of available data on energy consumption at the household level and reducing bia",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Smart Home & EMS",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A dataset of recorded electricity outages by United States county 2014–2022",
"doi": "10.1038/s41597-024-03095-5",
"url": "https://doi.org/10.1038/s41597-024-03095-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Brelsford, C.; Tennille, S.; Myers, A.; Chinthavali, S.; Tansakul, V.",
"abstract": "AbstractIn this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by the Environment for Analysis of Geo-Located Energy Information (EAGLE-ITM), a geographic information system and data visualization platform created at Oak Ridge National Laboratory to map the population experiencing electricity outages every 15 ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A unified dataset for pre-processed climate indicators weighted by gridded economic activity",
"doi": "10.1038/s41597-024-03304-1",
"url": "https://doi.org/10.1038/s41597-024-03304-1",
"journal": "Scientific Data",
"year": 2024,
"authors": "Gortan, M.; Testa, L.; Fagiolo, G.; Lamperti, F.",
"abstract": "AbstractAlthough high-resolution gridded climate variables are provided by multiple sources, the need for country and region-specific climate data weighted by indicators of economic activity is becoming increasingly common in environmental and economic research. We process available information from different climate data sources to provide spatially aggregated data with global coverage for both countries (GADM0 resolution) and regions (GADM1 resolution) and for a variety of climate indicators (",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A dataset for multi-faceted analysis of electric vehicle charging transactions",
"doi": "10.1038/s41597-024-02942-9",
"url": "https://doi.org/10.1038/s41597-024-02942-9",
"journal": "Scientific Data",
"year": 2024,
"authors": "Baek, K.; Lee, E.; Kim, J.",
"abstract": "AbstractThis study discloses a dataset of electric vehicles’ (EVs’) charging transactions at a scale for multi-faceted analysis from both EV charger and user perspectives. The data comprises whole sessions that occurred during a charging operation company’s annual commercial operation period, specifically including identifiers and charger location categories. For data acquisition, machine-to-machine wireless communication system with proper retransmission for interruption is utilised. The entire",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A dataset of voltage and current waveforms in an electric arc under low pressure for aircraft power systems",
"doi": "10.1038/s41597-024-04253-5",
"url": "https://doi.org/10.1038/s41597-024-04253-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Bogarra, S.; Moreno-Eguilaz, M.; Ortega-Redondo, J.; Riba, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Wind turbine condition monitoring dataset of Fraunhofer LBF",
"doi": "10.1038/s41597-024-03934-5",
"url": "https://doi.org/10.1038/s41597-024-03934-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Mostafavi, A.; Friedmann, A.",
"abstract": "AbstractFraunhofer wind turbine dataset contains monitoring data from a 750 W wind turbine, including accelerometers and tachometer, to capture structural response, bearing vibrations and rotational velocity. Additionally, temperatures, wind speed and wind direction have been measured, while weather conditions have been acquired from selected sources. Various damage scenarios, including mass imbalance, and aerodynamic imbalance as well as damages on bearings’ outer race, inner race and roller el",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms",
"doi": "10.1038/s41597-024-02955-4",
"url": "https://doi.org/10.1038/s41597-024-02955-4",
"journal": "Scientific Data",
"year": 2024,
"authors": "Tamizi, A.; Young, I.",
"abstract": "AbstractThere are now a range of potential data sources for wind and surface wave conditions within tropical cyclones. These sources include: in situ buoy data and remote sensing data from satellite altimeters, scatterometers, and radiometers. In addition, data providing estimates of tropical cyclone tracks and wind field parameters are available from best track archives. The present dataset brings together this information in a single archive, providing the available data for each tropical cycl",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array",
"doi": "10.1038/s41597-024-03427-5",
"url": "https://doi.org/10.1038/s41597-024-03427-5",
"journal": "Scientific Data",
"year": 2024,
"authors": "Zhou, J.; Lu, X.; Xiao, Y.; Tang, J.; Su, J.",
"abstract": "AbstractWind power is a clean and renewable energy, yet it poses integration challenges to the grid due to its variable nature. Thus, Wind Power Forecasting (WPF) is crucial for its successful integration. However, existing WPF datasets often cover only a limited number of turbines and lack detailed information. To bridge this gap and advance WPF research, we introduce the Spatial Dynamic Wind Power Forecasting dataset (SDWPF). The SDWPF dataset not only provides information on power generation ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land",
"doi": "10.1038/s41597-024-04203-1",
"url": "https://doi.org/10.1038/s41597-024-04203-1",
"journal": "Scientific Data",
"year": 2024,
"authors": "Zarei, M.; Destouni, G.",
"abstract": "AbstractWater on land is essential for all societal, ecosystem, and planetary health aspects and conditions, and all life as we know it. Many disciplines consider and model similar terrestrial water phenomena and processes, but comparisons and consistent validations are lacking for the datasets used by various science communities for different world parts, scales, and applications. Here, we present a new global data synthesis that includes and harmonises four comparative datasets for main terres",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Remotely sensed above-ground storage tank dataset for object detection and infrastructure assessment",
"doi": "10.1038/s41597-023-02780-1",
"url": "https://doi.org/10.1038/s41597-023-02780-1",
"journal": "Scientific Data",
"year": 2024,
"authors": "Robinson, C.; Bradbury, K.; Borsuk, M.",
"abstract": "AbstractRemotely sensed imagery has increased dramatically in quantity and public availability. However, automated, large-scale analysis of such imagery is hindered by a lack of the annotations necessary to train and test machine learning algorithms. In this study, we address this shortcoming with respect to above-ground storage tanks (ASTs) that are used in a wide variety of industries. We annotated available high-resolution, remotely sensed imagery to develop an original, publicly available mu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Fair energy finance increases global equity in the green energy transition",
"doi": "10.1038/s41560-024-01607-6",
"url": "https://doi.org/10.1038/s41560-024-01607-6",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emerging local energy communities",
"doi": "10.1038/s41560-024-01456-3",
"url": "https://doi.org/10.1038/s41560-024-01456-3",
"journal": "Nature Energy",
"year": 2024,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Puerto Rico’s energy transition",
"doi": "10.1038/s41560-024-01573-z",
"url": "https://doi.org/10.1038/s41560-024-01573-z",
"journal": "Nature Energy",
"year": 2024,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Refining Native American clean-energy opportunities",
"doi": "10.1038/s41560-024-01630-7",
"url": "https://doi.org/10.1038/s41560-024-01630-7",
"journal": "Nature Energy",
"year": 2024,
"authors": "Doris, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Combining photovoltaic elements",
"doi": "10.1038/s41560-024-01647-y",
"url": "https://doi.org/10.1038/s41560-024-01647-y",
"journal": "Nature Energy",
"year": 2024,
"authors": "Tregnago, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Community solar reaches adopters underserved by rooftop solar",
"doi": "10.1038/s41560-024-01575-x",
"url": "https://doi.org/10.1038/s41560-024-01575-x",
"journal": "Nature Energy",
"year": 2024,
"authors": "O’Shaughnessy, E.; Barbose, G.; Kannan, S.; Sumner, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Self-cleaning solar evaporation",
"doi": "10.1038/s41560-024-01594-8",
"url": "https://doi.org/10.1038/s41560-024-01594-8",
"journal": "Nature Energy",
"year": 2024,
"authors": "Zhang, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Ultralightweight perovskite solar cells for use in drones",
"doi": "10.1038/s41560-024-01504-y",
"url": "https://doi.org/10.1038/s41560-024-01504-y",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Refocusing on effectiveness over expansion in urban waste–energy–carbon development in China",
"doi": "10.1038/s41560-024-01683-8",
"url": "https://doi.org/10.1038/s41560-024-01683-8",
"journal": "Nature Energy",
"year": 2024,
"authors": "Liu, B.; Wang, P.; Zhou, J.; Guo, Y.; Ma, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Diversifying heat sources in China’s urban district heating systems will reduce risk of carbon lock-in",
"doi": "10.1038/s41560-024-01560-4",
"url": "https://doi.org/10.1038/s41560-024-01560-4",
"journal": "Nature Energy",
"year": 2024,
"authors": "Liu, S.; Guo, Y.; Wagner, F.; Liu, H.; Cui, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Understanding the large role of long-distance travel in carbon emissions from passenger travel",
"doi": "10.1038/s41560-024-01561-3",
"url": "https://doi.org/10.1038/s41560-024-01561-3",
"journal": "Nature Energy",
"year": 2024,
"authors": "Wadud, Z.; Adeel, M.; Anable, J.",
"abstract": "AbstractLong-distance passenger travel has received rather sparse attention for decarbonization. Here we characterize the long-distance travel pattern in England and explore its importance on carbon emissions from and decarbonization of passenger travel. We find that only 2.7% of a person’s trips are for long distance travel (>50 miles one-way), but they account for 61.3% of the miles and 69.3% of the greenhouse gas (CO2equivalent) emissions from passenger travel, highlighting its importance ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A hybrid modelling approach to compare chemical separation technologies in terms of energy consumption and carbon dioxide emissions",
"doi": "10.1038/s41560-024-01668-7",
"url": "https://doi.org/10.1038/s41560-024-01668-7",
"journal": "Nature Energy",
"year": 2024,
"authors": "Ignacz, G.; Beke, A.; Toth, V.; Szekely, G.",
"abstract": "Abstract\n Accurate energy system modelling of chemical separations is a critical component of technology selection to minimize operating costs, energy consumption and emissions. Here we report a hybrid modelling approach based on data-driven and mechanistic models to holistically compare chemical separation performance. Our model can be used to select the most suitable technology for a given chemical separation, such as membrane separation, evaporation, extraction or hybrid configuratio",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessing the emissions impact of grid-connected hydrogen production",
"doi": "10.1038/s41560-023-01445-y",
"url": "https://doi.org/10.1038/s41560-023-01445-y",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Policy credibility is a key component for an effective and efficient EU Emissions Trading System",
"doi": "10.1038/s41560-024-01545-3",
"url": "https://doi.org/10.1038/s41560-024-01545-3",
"journal": "Nature Energy",
"year": 2024,
"authors": "Sitarz, J.; Pahle, M.; Osorio, S.; Luderer, G.; Pietzcker, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploring the cost and emissions impacts, feasibility and scalability of battery electric ships",
"doi": "10.1038/s41560-024-01655-y",
"url": "https://doi.org/10.1038/s41560-024-01655-y",
"journal": "Nature Energy",
"year": 2024,
"authors": "Moon, H.; Park, W.; Hendrickson, T.; Phadke, A.; Popovich, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production",
"doi": "10.1038/s41560-023-01435-0",
"url": "https://doi.org/10.1038/s41560-023-01435-0",
"journal": "Nature Energy",
"year": 2024,
"authors": "Giovanniello, M.; Cybulsky, A.; Schittekatte, T.; Mallapragada, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Worldwide greenhouse gas emissions of green hydrogen production and transport",
"doi": "10.1038/s41560-024-01563-1",
"url": "https://doi.org/10.1038/s41560-024-01563-1",
"journal": "Nature Energy",
"year": 2024,
"authors": "de Kleijne, K.; Huijbregts, M.; Knobloch, F.; van Zelm, R.; Hilbers, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Publisher Correction: The influence of additionality and time-matching requirements on the emissions from grid-connected hydrogen production",
"doi": "10.1038/s41560-024-01475-0",
"url": "https://doi.org/10.1038/s41560-024-01475-0",
"journal": "Nature Energy",
"year": 2024,
"authors": "Giovanniello, M.; Cybulsky, A.; Schittekatte, T.; Mallapragada, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impact of soil carbon changes",
"doi": "10.1038/s41560-024-01480-3",
"url": "https://doi.org/10.1038/s41560-024-01480-3",
"journal": "Nature Energy",
"year": 2024,
"authors": "Gallagher, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Weather-sensitive renewable energy sources do not subject power systems to blackouts",
"doi": "10.1038/s41560-024-01657-w",
"url": "https://doi.org/10.1038/s41560-024-01657-w",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts of renewable energy resources on the weather vulnerability of power systems",
"doi": "10.1038/s41560-024-01652-1",
"url": "https://doi.org/10.1038/s41560-024-01652-1",
"journal": "Nature Energy",
"year": 2024,
"authors": "Zhao, J.; Li, F.; Zhang, Q.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains",
"doi": "10.1038/s41560-024-01492-z",
"url": "https://doi.org/10.1038/s41560-024-01492-z",
"journal": "Nature Energy",
"year": 2024,
"authors": "Verpoort, P.; Gast, L.; Hofmann, A.; Ueckerdt, F.",
"abstract": "Abstract\n \n On the path to climate neutrality, global production locations and trade patterns of basic materials might change due to the heterogeneous availability of renewable electricity. Here we estimate the ‘renewables pull’, that is, the energy-cost savings, for varying depths of relocation for three key tradable energy-intensive industrial commodities: steel, urea and ethylene. For an electricity-price difference of €40 MWh\n −1\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Estimation of useful-stage energy returns on investment for fossil fuels and implications for renewable energy systems",
"doi": "10.1038/s41560-024-01518-6",
"url": "https://doi.org/10.1038/s41560-024-01518-6",
"journal": "Nature Energy",
"year": 2024,
"authors": "Aramendia, E.; Brockway, P.; Taylor, P.; Norman, J.; Heun, M.",
"abstract": "AbstractThe net energy implications of the energy transition have so far been analysed at best at the final energy stage. Here we argue that expanding the analysis to the useful stage is crucial. We estimate fossil fuelsʼ useful-stage energy returns on investment (EROIs) over the period 1971–2020, globally and nationally, and disaggregate EROIs by end use. We find that fossil fuelsʼ useful-stage EROIs (~3.5:1) are considerably lower than at the final stage (~8.5:1), due to low final-to-useful ef",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Flexible participation of electrosynthesis in dynamic electricity markets",
"doi": "10.1038/s41560-024-01584-w",
"url": "https://doi.org/10.1038/s41560-024-01584-w",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Weather conditions linked to energy droughts in electricity systems with hydropower",
"doi": "10.1038/s41560-024-01641-4",
"url": "https://doi.org/10.1038/s41560-024-01641-4",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploiting different electricity markets via highly rate-mismatched modular electrochemical synthesis",
"doi": "10.1038/s41560-024-01578-8",
"url": "https://doi.org/10.1038/s41560-024-01578-8",
"journal": "Nature Energy",
"year": 2024,
"authors": "Wang, R.; Ma, J.; Sheng, H.; Zavala, V.; Jin, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "The role of flexible geothermal power in decarbonized electricity systems",
"doi": "10.1038/s41560-023-01437-y",
"url": "https://doi.org/10.1038/s41560-023-01437-y",
"journal": "Nature Energy",
"year": 2024,
"authors": "Ricks, W.; Voller, K.; Galban, G.; Norbeck, J.; Jenkins, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A geographically disaggregated approach to integrate low-carbon technologies across local electricity networks",
"doi": "10.1038/s41560-024-01542-6",
"url": "https://doi.org/10.1038/s41560-024-01542-6",
"journal": "Nature Energy",
"year": 2024,
"authors": "Few, S.; Djapic, P.; Strbac, G.; Nelson, J.; Candelise, C.",
"abstract": "Abstract\n Meeting climate targets requires widespread deployment of low-carbon technologies such as distributed photovoltaics, heat pumps and electric vehicles. Without mitigating actions, changing power flows associated with these technologies would adversely impact some local networks. The extent of these impacts, and the optimal means of avoiding them, remains unclear. Here we use local-level data and network simulation to estimate variation in future network upgrade costs in",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Author Correction: A global model of hourly space heating and cooling demand at multiple spatial scales",
"doi": "10.1038/s41560-023-01448-9",
"url": "https://doi.org/10.1038/s41560-023-01448-9",
"journal": "Nature Energy",
"year": 2024,
"authors": "Staffell, I.; Pfenninger, S.; Johnson, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Identifying the power-grid bottlenecks responsible for cascading failures during extreme storms",
"doi": "10.1038/s41560-024-01499-6",
"url": "https://doi.org/10.1038/s41560-024-01499-6",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines",
"doi": "10.1038/s41560-023-01434-1",
"url": "https://doi.org/10.1038/s41560-023-01434-1",
"journal": "Nature Energy",
"year": 2024,
"authors": "Stürmer, J.; Plietzsch, A.; Vogt, T.; Hellmann, F.; Kurths, J.",
"abstract": "AbstractThe Texas power grid on the Gulf Coast of the United States is frequently hit by tropical cyclones (TCs) causing widespread power outages, a risk that is expected to substantially increase under global warming. Here we introduce a new approach that combines a probabilistic line failure model with a network model of the Texas grid to simulate the spatio-temporal co-evolution of wind-induced failures of high-voltage transmission lines and the resulting cascading power outages from seven ma",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "US industrial policy may reduce electric vehicle battery supply chain vulnerabilities and influence technology choice",
"doi": "10.1038/s41560-024-01649-w",
"url": "https://doi.org/10.1038/s41560-024-01649-w",
"journal": "Nature Energy",
"year": 2024,
"authors": "Cheng, A.; Fuchs, E.; Michalek, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Industry needs for practical lithium-metal battery designs in electric vehicles",
"doi": "10.1038/s41560-024-01624-5",
"url": "https://doi.org/10.1038/s41560-024-01624-5",
"journal": "Nature Energy",
"year": 2024,
"authors": "He, M.; Hector, L.; Dai, F.; Xu, F.; Kolluri, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Wind power and solar photovoltaics found to have higher energy returns than fossil fuels",
"doi": "10.1038/s41560-024-01520-y",
"url": "https://doi.org/10.1038/s41560-024-01520-y",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A wind of change in sustainability",
"doi": "10.1038/s41560-024-01666-9",
"url": "https://doi.org/10.1038/s41560-024-01666-9",
"journal": "Nature Energy",
"year": 2024,
"authors": "Guo, Y.; Miao, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Economic potential of wind and solar in American Indian communities",
"doi": "10.1038/s41560-024-01617-4",
"url": "https://doi.org/10.1038/s41560-024-01617-4",
"journal": "Nature Energy",
"year": 2024,
"authors": "Parker, D.; Johnston, S.; Leonard, B.; Stewart, D.; Winikoff, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering",
"doi": "10.1038/s41560-024-01516-8",
"url": "https://doi.org/10.1038/s41560-024-01516-8",
"journal": "Nature Energy",
"year": 2024,
"authors": "Harrison-Atlas, D.; Glaws, A.; King, R.; Lantz, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Capacity estimation of home storage systems using field data",
"doi": "10.1038/s41560-024-01662-z",
"url": "https://doi.org/10.1038/s41560-024-01662-z",
"journal": "Nature Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Sub-nano fillers for high-temperature storage",
"doi": "10.1038/s41560-023-01446-x",
"url": "https://doi.org/10.1038/s41560-023-01446-x",
"journal": "Nature Energy",
"year": 2024,
"authors": "Singh, M.; Tiwary, S.; Karim, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vertical iontronic energy storage based on osmotic effects and electrode redox reactions",
"doi": "10.1038/s41560-023-01431-4",
"url": "https://doi.org/10.1038/s41560-023-01431-4",
"journal": "Nature Energy",
"year": 2024,
"authors": "Yang, F.; Peng, P.; Yan, Z.; Fan, H.; Li, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Hydrogen storage and geo-methanation in a depleted underground hydrocarbon reservoir",
"doi": "10.1038/s41560-024-01458-1",
"url": "https://doi.org/10.1038/s41560-024-01458-1",
"journal": "Nature Energy",
"year": 2024,
"authors": "Hellerschmied, C.; Schritter, J.; Waldmann, N.; Zaduryan, A.; Rachbauer, L.",
"abstract": "AbstractCoupling of power-to-gas processes with underground gas storage could effectively allow surplus electricity to be stored for later use. Depleted hydrocarbon reservoirs could be used as stores, but practical experience of hydrogen storage in such sites is limited. Here we present data from a field trial that stored 119,353 m3 of hydrogen admixed to natural gas in a depleted hydrocarbon reservoir. After 285 days, hydrogen recovery was 84.3%, indicating the process’s technical feasibility. ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Multi-year field measurements of home storage systems and their use in capacity estimation",
"doi": "10.1038/s41560-024-01620-9",
"url": "https://doi.org/10.1038/s41560-024-01620-9",
"journal": "Nature Energy",
"year": 2024,
"authors": "Figgener, J.; van Ouwerkerk, J.; Haberschusz, D.; Bors, J.; Woerner, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Machine learning-accelerated discovery of heat-resistant polysulfates for electrostatic energy storage",
"doi": "10.1038/s41560-024-01670-z",
"url": "https://doi.org/10.1038/s41560-024-01670-z",
"journal": "Nature Energy",
"year": 2024,
"authors": "Li, H.; Zheng, H.; Yue, T.; Xie, Z.; Yu, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Non-aqueous alkoxide-mediated electrochemical carbon capture",
"doi": "10.1038/s41560-024-01614-7",
"url": "https://doi.org/10.1038/s41560-024-01614-7",
"journal": "Nature Energy",
"year": 2024,
"authors": "Liu, A.; Musgrave, C.; Li, X.; Goddard, W.; Liu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "EU carbon prices signal high policy credibility and farsighted actors",
"doi": "10.1038/s41560-024-01505-x",
"url": "https://doi.org/10.1038/s41560-024-01505-x",
"journal": "Nature Energy",
"year": 2024,
"authors": "Sitarz, J.; Pahle, M.; Osorio, S.; Luderer, G.; Pietzcker, R.",
"abstract": "Abstract\n \n Carbon prices in the EU emissions trading system are a key instrument driving Europe’s decarbonization. Between 2017 and 2021, they surged tenfold, exceeding €80 tCO\n 2\n −1\n and reshaping investment decisions across the electricity and industry sectors. What has driven this increase is an open question. While it coincided with two significant reforms tightening the cap (‘MSR reform’ and ‘Fit ",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Large-scale spatially explicit analysis of carbon capture at cellulosic biorefineries",
"doi": "10.1038/s41560-024-01532-8",
"url": "https://doi.org/10.1038/s41560-024-01532-8",
"journal": "Nature Energy",
"year": 2024,
"authors": "O’Neill, E.; Geissler, C.; Maravelias, C.",
"abstract": "AbstractThe large-scale production of cellulosic biofuels would involve spatially distributed systems including biomass fields, logistics networks and biorefineries. Better understanding of the interactions between landscape-related decisions and the design of biorefineries with carbon capture and storage (CCS) in a supply chain context is needed to enable efficient systems. Here we analyse the cost and greenhouse gas mitigation potential for cellulosic biofuel supply chains in the US Midwest us",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Geospatial variation in carbon accounting of hydrogen production and implications for the US Inflation Reduction Act",
"doi": "10.1038/s41560-024-01653-0",
"url": "https://doi.org/10.1038/s41560-024-01653-0",
"journal": "Nature Energy",
"year": 2024,
"authors": "Vallejo, V.; Nguyen, Q.; Ravikumar, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Carbon Asset Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Global scenarios for significant water use reduction in thermal power plants based on cooling water demand estimation using satellite imagery",
"doi": "10.1038/s41560-024-01700-w",
"url": "https://doi.org/10.1038/s41560-024-01700-w",
"journal": "Nature Energy",
"year": 2024,
"authors": "Lohrmann, A.; Farfan, J.; Caldera, U.; Lohrmann, C.; Breyer, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rethinking energy planning to mitigate the impacts of African hydropower",
"doi": "10.1038/s41893-024-01367-x",
"url": "https://doi.org/10.1038/s41893-024-01367-x",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Carlino, A.; Schmitt, R.; Clark, A.; Castelletti, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Large-scale green grabbing for wind and solar photovoltaic development in Brazil",
"doi": "10.1038/s41893-024-01346-2",
"url": "https://doi.org/10.1038/s41893-024-01346-2",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Klingler, M.; Ameli, N.; Rickman, J.; Schmidt, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Democratic discrepancies in urban sustainable development",
"doi": "10.1038/s41893-024-01425-4",
"url": "https://doi.org/10.1038/s41893-024-01425-4",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Kaufmann, D.; Wicki, M.; Wittwer, S.; Stephan, J.",
"abstract": "AbstractCities are critical for achieving the United Nations Sustainable Development Goals. Their urban sustainable development (USD) plans and policies cover a wide range of issues, such as biodiversity protection, transportation or poverty reduction. Yet, such policy-making may lack democratic legitimacy if these policies are out of step with the demands and concerns of residents. Considering this, the present study compares residents’ preferences about USD policy issues with the priorities se",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reducing greenhouse gas emissions with nanofertilizers",
"doi": "10.1038/s41893-024-01335-5",
"url": "https://doi.org/10.1038/s41893-024-01335-5",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Dimkpa, C.; Haynes, C.; White, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Methane emissions from landfills differentially underestimated worldwide",
"doi": "10.1038/s41893-024-01307-9",
"url": "https://doi.org/10.1038/s41893-024-01307-9",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Wang, Y.; Fang, M.; Lou, Z.; He, H.; Guo, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Atmospheric emissions of respirable quartz from industrial activities in China",
"doi": "10.1038/s41893-024-01388-6",
"url": "https://doi.org/10.1038/s41893-024-01388-6",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Yang, Q.; Liu, G.; Yang, L.; Yun, J.; Zhang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Oversimplification and misestimation of nitrous oxide emissions from wastewater treatment plants",
"doi": "10.1038/s41893-024-01420-9",
"url": "https://doi.org/10.1038/s41893-024-01420-9",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Song, C.; Zhu, J.; Willis, J.; Moore, D.; Zondlo, M.",
"abstract": "AbstractWastewater treatment is a major source of anthropogenic nitrous oxide (N2O) emissions. However, the current emission estimations rely on a uniform emission factor (EF) proposed by the Intergovernmental Panel on Climate Change based on a limited database suffering from large uncertainties and inaccuracies. To address this limitation, this study expands the database 12-fold and develops a tier-based approach. Our method considers emission variations across spatial scales, treatment process",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Globally elevated greenhouse gas emissions from polluted urban rivers",
"doi": "10.1038/s41893-024-01358-y",
"url": "https://doi.org/10.1038/s41893-024-01358-y",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Xu, W.; Wang, G.; Liu, S.; Wang, J.; McDowell, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A renewable and socially accepted energy system for astronomical telescopes",
"doi": "10.1038/s41893-024-01442-3",
"url": "https://doi.org/10.1038/s41893-024-01442-3",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Valenzuela-Venegas, G.; Lode, M.; Viole, I.; Felice, A.; Martinez Alonso, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Molecular engineering of renewable cellulose biopolymers for solid-state battery electrolytes",
"doi": "10.1038/s41893-024-01414-7",
"url": "https://doi.org/10.1038/s41893-024-01414-7",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Li, J.; Hu, Z.; Zhang, S.; Zhang, H.; Guo, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Co-benefits of transport demand reductions from compact urban development in Chinese cities",
"doi": "10.1038/s41893-024-01271-4",
"url": "https://doi.org/10.1038/s41893-024-01271-4",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Fu, X.; Cheng, J.; Peng, L.; Zhou, M.; Tong, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Tri-band electrochromic smart window for energy savings in buildings",
"doi": "10.1038/s41893-024-01349-z",
"url": "https://doi.org/10.1038/s41893-024-01349-z",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Shao, Z.; Huang, A.; Cao, C.; Ji, X.; Hu, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Offsetting the greenhouse gas footprint of hydropower with floating solar photovoltaics",
"doi": "10.1038/s41893-024-01384-w",
"url": "https://doi.org/10.1038/s41893-024-01384-w",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Almeida, R.; Chowdhury, A.; Rodrigo, H.; Li, M.; Schmitt, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A fairer and more effective carbon tax",
"doi": "10.1038/s41893-024-01429-0",
"url": "https://doi.org/10.1038/s41893-024-01429-0",
"journal": "Nature Sustainability",
"year": 2024,
"authors": "Dietsch, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ocean wave energy harvesting with high energy density and self-powered monitoring system",
"doi": "10.1038/s41467-024-50926-5",
"url": "https://doi.org/10.1038/s41467-024-50926-5",
"journal": "Nature Communications",
"year": 2024,
"authors": "Lu, Z.; Zhao, L.; Fu, H.; Yeatman, E.; Ding, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Accurate nowcasting of cloud cover at solar photovoltaic plants using geostationary satellite images",
"doi": "10.1038/s41467-023-44666-1",
"url": "https://doi.org/10.1038/s41467-023-44666-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Xia, P.; Zhang, L.; Min, M.; Li, J.; Wang, Y.",
"abstract": "Abstract\n Accurate nowcasting for cloud fraction is still intractable challenge for stable solar photovoltaic electricity generation. By combining continuous radiance images measured by geostationary satellite and an advanced recurrent neural network, we develop a nowcasting algorithm for predicting cloud fraction at the leading time of 0–4 h at photovoltaic plants. Based on this algorithm, a cyclically updated prediction system is also established and tested at five photovoltai",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Transparent integrated pyroelectric-photovoltaic structure for photo-thermo hybrid power generation",
"doi": "10.1038/s41467-024-47483-2",
"url": "https://doi.org/10.1038/s41467-024-47483-2",
"journal": "Nature Communications",
"year": 2024,
"authors": "Patel, M.; Park, H.; Bhatnagar, P.; Kumar, N.; Lee, J.",
"abstract": "AbstractThermal losses in photoelectric devices limit their energy conversion efficiency, and cyclic input of energy coupled with pyroelectricity can overcome this limit. Here, incorporating a pyroelectric absorber into a photovoltaic heterostructure device enables efficient electricity generation by leveraging spontaneous polarization based on pulsed light-induced thermal changes. The proposed pyroelectric-photovoltaic device outperforms traditional photovoltaic devices by 2.5 times due to the ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Giant intrinsic photovoltaic effect in one-dimensional van der Waals grain boundaries",
"doi": "10.1038/s41467-024-44792-4",
"url": "https://doi.org/10.1038/s41467-024-44792-4",
"journal": "Nature Communications",
"year": 2024,
"authors": "Zhou, Y.; Zhou, X.; Yu, X.; Liang, Z.; Zhao, X.",
"abstract": "AbstractThe photovoltaic effect lies at the heart of eco-friendly energy harvesting. However, the conversion efficiency of traditional photovoltaic effect utilizing the built-in electric effect in p-n junctions is restricted by the Shockley-Queisser limit. Alternatively, intrinsic/bulk photovoltaic effect (IPVE/BPVE), a second-order nonlinear optoelectronic effect arising from the broken inversion symmetry of crystalline structure, can overcome this theoretical limit. Here, we uncover giant and ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The potential of urban irrigation for counteracting carbon-climate feedback",
"doi": "10.1038/s41467-024-46826-3",
"url": "https://doi.org/10.1038/s41467-024-46826-3",
"journal": "Nature Communications",
"year": 2024,
"authors": "Li, P.; Wang, Z.; Wang, C.",
"abstract": "AbstractGlobal climate changes, especially the rise of global mean temperature due to the increased carbon dioxide (CO2) concentration, can, in turn, result in higher anthropogenic and biogenic greenhouse gas emissions. This potentially leads to a positive loop of climate–carbon feedback in the Earth’s climate system, which calls for sustainable environmental strategies that can mitigate both heat and carbon emissions, such as urban greening. In this study, we investigate the impact of urban irr",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Drivers of global tourism carbon emissions",
"doi": "10.1038/s41467-024-54582-7",
"url": "https://doi.org/10.1038/s41467-024-54582-7",
"journal": "Nature Communications",
"year": 2024,
"authors": "Sun, Y.; Faturay, F.; Lenzen, M.; Gössling, S.; Higham, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global energy use and carbon emissions from irrigated agriculture",
"doi": "10.1038/s41467-024-47383-5",
"url": "https://doi.org/10.1038/s41467-024-47383-5",
"journal": "Nature Communications",
"year": 2024,
"authors": "Qin, J.; Duan, W.; Zou, S.; Chen, Y.; Huang, W.",
"abstract": "AbstractIrrigation is a land management practice with major environmental impacts. However, global energy consumption and carbon emissions resulting from irrigation remain unknown. We assess the worldwide energy consumption and carbon emissions associated with irrigation, while also measuring the potential energy and carbon reductions achievable through the adoption of efficient and low-carbon irrigation practices. Currently, irrigation contributes 216 million metric tons of CO2 emissions and co",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Substantial terrestrial carbon emissions from global expansion of impervious surface area",
"doi": "10.1038/s41467-024-50840-w",
"url": "https://doi.org/10.1038/s41467-024-50840-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Qiu, L.; He, J.; Yue, C.; Ciais, P.; Zheng, C.",
"abstract": "AbstractGlobal impervious surface area (ISA) has more than doubled over the last three decades, but the associated carbon emissions resulting from the depletion of pre-existing land carbon stores remain unknown. Here, we report that the carbon losses from biomass and top soil (0–30 cm) due to global ISA expansion reached 46–75 Tg C per year over 1993–2018, accounting for 3.7–6.0% of the concurrent human land-use change emissions. For the Annex I countries of UNFCCC, our estimated emissions are c",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Switchable unidirectional emissions from hydrogel gratings with integrated carbon quantum dots",
"doi": "10.1038/s41467-024-45284-1",
"url": "https://doi.org/10.1038/s41467-024-45284-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Dai, C.; Wan, S.; Li, Z.; Shi, Y.; Zhang, S.",
"abstract": "AbstractDirectional emission of photoluminescence despite its incoherence is an attractive technique for light-emitting fields and nanophotonics. Optical metasurfaces provide a promising route for wavefront engineering at the subwavelength scale, enabling the feasibility of unidirectional emission. However, current directional emission strategies are mostly based on static metasurfaces, and it remains a challenge to achieve unidirectional emissions tuning with high performance. Here, we demonstr",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Potential of artificial intelligence in reducing energy and carbon emissions of commercial buildings at scale",
"doi": "10.1038/s41467-024-50088-4",
"url": "https://doi.org/10.1038/s41467-024-50088-4",
"journal": "Nature Communications",
"year": 2024,
"authors": "Ding, C.; Ke, J.; Levine, M.; Granderson, J.; Zhou, N.",
"abstract": "Abstract\n Artificial intelligence has emerged as a technology to enhance productivity and improve life quality. However, its role in building energy efficiency and carbon emission reduction has not been systematically studied. This study evaluated artificial intelligence’s potential in the building sector, focusing on medium office buildings in the United States. A methodology was developed to assess and quantify potential emissions reductions. Key areas identified were equipment, occup",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Estimating countries’ additional carbon accountability for closing the mitigation gap based on past and future emissions",
"doi": "10.1038/s41467-024-54039-x",
"url": "https://doi.org/10.1038/s41467-024-54039-x",
"journal": "Nature Communications",
"year": 2024,
"authors": "Hahn, T.; Morfeldt, J.; Höglund, R.; Karlsson, M.; Fetzer, I.",
"abstract": "Abstract\n \n Quantifying fair national shares of the remaining global carbon budget has proven challenging. Here, we propose an indicator—additional carbon accountability—that quantifies countries’ responsibility for mitigation and CO\n 2\n removal in addition to achieving their own targets. Considering carbon debts since 1990 and future claims based on countries’ emission pathways, the indicator uses an equal cumulative per ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Mutual reinforcement of land-based carbon dioxide removal and international emissions trading in deep decarbonization scenarios",
"doi": "10.1038/s41467-024-49502-8",
"url": "https://doi.org/10.1038/s41467-024-49502-8",
"journal": "Nature Communications",
"year": 2024,
"authors": "Morris, J.; Gurgel, A.; Mignone, B.; Kheshgi, H.; Paltsev, S.",
"abstract": "AbstractCarbon dioxide removal (CDR) technologies and international emissions trading are both widely represented in climate change mitigation scenarios, but the interplay among them has not been closely examined. By systematically varying key policy and technology assumptions in a global energy-economic model, we find that CDR and international emissions trading are mutually reinforcing in deep decarbonization scenarios. This occurs because CDR potential is not evenly distributed geographically",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Estimating countries’ additional carbon accountability for closing the mitigation gap based on past and future emissions",
"doi": "10.1038/s41467-024-55438-w",
"url": "https://doi.org/10.1038/s41467-024-55438-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Hahn, T.; Morfeldt, J.; Höglund, R.; Karlsson, M.; Fetzer, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "High carbon dioxide emissions from Australian estuaries driven by geomorphology and climate",
"doi": "10.1038/s41467-024-48178-4",
"url": "https://doi.org/10.1038/s41467-024-48178-4",
"journal": "Nature Communications",
"year": 2024,
"authors": "Yeo, J.; Rosentreter, J.; Oakes, J.; Schulz, K.; Eyre, B.",
"abstract": "AbstractEstuaries play an important role in connecting the global carbon cycle across the land-to-ocean continuum, but little is known about Australia’s contribution to global CO2 emissions. Here we present an Australia-wide assessment, based on CO2 concentrations for 47 estuaries upscaled to 971 assessed Australian estuaries. We estimate total mean (±SE) estuary CO2 emissions of 8.67 ± 0.54 Tg CO2-C yr−1, with tidal systems, lagoons, and small deltas contributing 94.4%, 3.1%, and 2.5%, respecti",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A blockchain consensus mechanism for real-time regulation of renewable energy power systems",
"doi": "10.1038/s41467-024-54626-y",
"url": "https://doi.org/10.1038/s41467-024-54626-y",
"journal": "Nature Communications",
"year": 2024,
"authors": "Yu, Y.; Liu, G.; Huang, Y.; Chung, C.; Li, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying benefits of renewable investments for German residential Prosumers in times of volatile energy markets",
"doi": "10.1038/s41467-024-51967-6",
"url": "https://doi.org/10.1038/s41467-024-51967-6",
"journal": "Nature Communications",
"year": 2024,
"authors": "van Ouwerkerk, J.; Celi Cortés, M.; Nsir, N.; Gong, J.; Figgener, J.",
"abstract": "Abstract\n \n The COVID-19 pandemic and the Russian invasion of Ukraine have led to unseen disruptions in the global energy markets since the end of 2021. Residential renewable investments like photovoltaic systems, battery home storage systems, and heat pumps are therefore gaining traction. However, the benefits of those technologies during the energy crisis and beyond have not been fully quantified yet. Therefore, in this study, we benchmark renewable investme",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Household alternating current electricity plug-and-play quantum-dot light-emitting diodes",
"doi": "10.1038/s41467-024-47891-4",
"url": "https://doi.org/10.1038/s41467-024-47891-4",
"journal": "Nature Communications",
"year": 2024,
"authors": "Wang, J.; Yuan, C.; Chen, S.",
"abstract": "AbstractAs an intrinsically direct current device, quantum-dot LED cannot be directly driven by household alternating current electricity. Thus, a driver circuit is required, which increases the complexity and cost. Here, by using a transparent and conductive indium-zinc-oxide as an intermediate electrode, we develop a tandem quantum-dot LED that can be operated at both negative and positive alternating current cycles with an external quantum efficiency of 20.09% and 21.15%, respectively. Furthe",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A multi-demand operating system underlying diverse cognitive tasks",
"doi": "10.1038/s41467-024-46511-5",
"url": "https://doi.org/10.1038/s41467-024-46511-5",
"journal": "Nature Communications",
"year": 2024,
"authors": "Cai, W.; Taghia, J.; Menon, V.",
"abstract": "AbstractThe existence of a multiple-demand cortical system with an adaptive, domain-general, role in cognition has been proposed, but the underlying dynamic mechanisms and their links to cognitive control abilities are poorly understood. Here we use a probabilistic generative Bayesian model of brain circuit dynamics to determine dynamic brain states across multiple cognitive domains, independent datasets, and participant groups, including task fMRI data from Human Connectome Project, Dual Mechan",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "An electricity-driven mobility circular economy with lifecycle carbon footprints for climate-adaptive carbon neutrality transformation",
"doi": "10.1038/s41467-024-49868-9",
"url": "https://doi.org/10.1038/s41467-024-49868-9",
"journal": "Nature Communications",
"year": 2024,
"authors": "Song, A.; Dan, Z.; Zheng, S.; Zhou, Y.",
"abstract": "AbstractUnder the carbon neutrality targets and sustainable development goals, emergingly increasing needs for batteries are in buildings and electric vehicles. However, embodied carbon emissions impose dialectical viewpoints on whether the electrochemical battery is environmentally friendly or not. In this research, a community with energy paradigm shifting towards decentralization, renewable and sustainability is studied, with multi-directional Vehicle-to-Everything (V2X) and lifecycle battery",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Future hydrogen economies imply environmental trade-offs and a supply-demand mismatch",
"doi": "10.1038/s41467-024-51251-7",
"url": "https://doi.org/10.1038/s41467-024-51251-7",
"journal": "Nature Communications",
"year": 2024,
"authors": "Terlouw, T.; Rosa, L.; Bauer, C.; McKenna, R.",
"abstract": "AbstractHydrogen will play a key role in decarbonizing economies. Here, we quantify the costs and environmental impacts of possible large-scale hydrogen economies, using four prospective hydrogen demand scenarios for 2050 ranging from 111–614 megatonne H2 year−1. Our findings confirm that renewable (solar photovoltaic and wind) electrolytic hydrogen production generates at least 50–90% fewer greenhouse gas emissions than fossil-fuel-based counterparts without carbon capture and storage. However,",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Unlocking the potential of biogas systems for energy production and climate solutions in rural communities",
"doi": "10.1038/s41467-024-50091-9",
"url": "https://doi.org/10.1038/s41467-024-50091-9",
"journal": "Nature Communications",
"year": 2024,
"authors": "Luo, T.; Shen, B.; Mei, Z.; Hove, A.; Ju, K.",
"abstract": "Abstract\n On-site conversion of organic waste into biogas to satisfy consumer energy demand has the potential to realize energy equality and mitigate climate change reliably. However, existing methods ignore either real-time full supply or methane escape when supply and demand are mismatched. Here, we show an improved design of community biogas production and distribution system to overcome these and achieve full co-benefits in developing economies. We take five existing systems",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Speed of environmental change frames relative ecological risk in climate change and climate intervention scenarios",
"doi": "10.1038/s41467-024-47656-z",
"url": "https://doi.org/10.1038/s41467-024-47656-z",
"journal": "Nature Communications",
"year": 2024,
"authors": "Hueholt, D.; Barnes, E.; Hurrell, J.; Morrison, A.",
"abstract": "Abstract\n Stratospheric aerosol injection is a potential method of climate intervention to reduce climate risk as decarbonization efforts continue. However, possible ecosystem impacts from the strategic design of hypothetical intervention scenarios are poorly understood. Two recent Earth system model simulations depict policy-relevant stratospheric aerosol injection scenarios with similar global temperature targets, but a 10-year delay in intervention deployment. Here we show th",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Altered grid-like coding in early blind people",
"doi": "10.1038/s41467-024-47747-x",
"url": "https://doi.org/10.1038/s41467-024-47747-x",
"journal": "Nature Communications",
"year": 2024,
"authors": "Sigismondi, F.; Xu, Y.; Silvestri, M.; Bottini, R.",
"abstract": "Abstract\n Cognitive maps in the hippocampal-entorhinal system are central for the representation of both spatial and non-spatial relationships. Although this system, especially in humans, heavily relies on vision, the role of visual experience in shaping the development of cognitive maps remains largely unknown. Here, we test sighted and early blind individuals in both imagined navigation in fMRI and real-world navigation. During imagined navigation, the Human Navigation Network",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How grid reinforcement costs differ by the income of electric vehicle users",
"doi": "10.1038/s41467-024-53644-0",
"url": "https://doi.org/10.1038/s41467-024-53644-0",
"journal": "Nature Communications",
"year": 2024,
"authors": "Steinbach, S.; Blaschke, M.",
"abstract": "AbstractThe simultaneous charging of many electric vehicles in future mobility scenarios may lead to peaks and overloads threatening grid stability. The necessary infrastructure investments vary by the number and model type of vehicles driven and the residents’ charging preferences. These attributes significantly depend on socio-economic factors such as income. Using power flow simulations based on real-life driving profiles, we predict massive cost asymmetries with an investment demand up to 33",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Uncovering 2-D toroidal representations in grid cell ensemble activity during 1-D behavior",
"doi": "10.1038/s41467-024-49703-1",
"url": "https://doi.org/10.1038/s41467-024-49703-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Hermansen, E.; Klindt, D.; Dunn, B.",
"abstract": "Abstract\n Minimal experiments, such as head-fixed wheel-running and sleep, offer experimental advantages but restrict the amount of observable behavior, making it difficult to classify functional cell types. Arguably, the grid cell, and its striking periodicity, would not have been discovered without the perspective provided by free behavior in an open environment. Here, we show that by shifting the focus from single neurons to populations, we change the minimal experimental com",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On the potential of vehicle-to-grid and second-life batteries to provide energy and material security",
"doi": "10.1038/s41467-024-48554-0",
"url": "https://doi.org/10.1038/s41467-024-48554-0",
"journal": "Nature Communications",
"year": 2024,
"authors": "Aguilar Lopez, F.; Lauinger, D.; Vuille, F.; Müller, D.",
"abstract": "AbstractThe global energy transition relies increasingly on lithium-ion batteries for electric transportation and renewable energy integration. Given the highly concentrated supply chain of battery materials, importing regions have a strategic imperative to reduce their reliance on battery material imports through, e.g., battery recycling or reuse. We investigate the potential of vehicle-to-grid and second-life batteries to reduce resource use by displacing new stationary batteries dedicated to ",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Grid-like entorhinal representation of an abstract value space during prospective decision making",
"doi": "10.1038/s41467-024-45127-z",
"url": "https://doi.org/10.1038/s41467-024-45127-z",
"journal": "Nature Communications",
"year": 2024,
"authors": "Nitsch, A.; Garvert, M.; Bellmund, J.; Schuck, N.; Doeller, C.",
"abstract": "Abstract\n How valuable a choice option is often changes over time, making the prediction of value changes an important challenge for decision making. Prior studies identified a cognitive map in the hippocampal-entorhinal system that encodes relationships between states and enables prediction of future states, but does not inherently convey value during prospective decision making. In this fMRI study, participants predicted changing values of choice options in a sequence, forming",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The value of long-duration energy storage under various grid conditions in a zero-emissions future",
"doi": "10.1038/s41467-024-53274-6",
"url": "https://doi.org/10.1038/s41467-024-53274-6",
"journal": "Nature Communications",
"year": 2024,
"authors": "Staadecker, M.; Szinai, J.; Sánchez-Pérez, P.; Kurtz, S.; Hidalgo-Gonzalez, P.",
"abstract": "Abstract\n \n Long-duration energy storage (LDES) is a key resource in enabling zero-emissions electricity grids but its role within different types of grids is not well understood. Using the Switch capacity expansion model, we model a zero-emissions Western Interconnect with high geographical resolution to understand the value of LDES under 39 scenarios with different generation mixes, transmission expansion, storage costs, and storage mandates. We find that a)",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Introducing edge intelligence to smart meters via federated split learning",
"doi": "10.1038/s41467-024-53352-9",
"url": "https://doi.org/10.1038/s41467-024-53352-9",
"journal": "Nature Communications",
"year": 2024,
"authors": "Li, Y.; Qin, D.; Poor, H.; Wang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Smart Home & EMS",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Income and racial disparity in household publicly available electric vehicle infrastructure accessibility",
"doi": "10.1038/s41467-024-49481-w",
"url": "https://doi.org/10.1038/s41467-024-49481-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Lou, J.; Shen, X.; Niemeier, D.; Hultman, N.",
"abstract": "AbstractPublicly available electric vehicle (EV) infrastructure is pivotal for the United States EV transition by 2030. Existing infrastructure lacks equitably distribution to low-income and underrepresented communities, impeding mass adoption. Our study, utilizing 2021 micro-level data from 121 million United States households, comprehensively examines income and racial disparities in EV infrastructure accessibility. Our analysis of national averages indicates that lower-income groups face less",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Electric vehicle battery chemistry affects supply chain disruption vulnerabilities",
"doi": "10.1038/s41467-024-46418-1",
"url": "https://doi.org/10.1038/s41467-024-46418-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Cheng, A.; Fuchs, E.; Karplus, V.; Michalek, J.",
"abstract": "Abstract\n We examine the relationship between electric vehicle battery chemistry and supply chain disruption vulnerability for four critical minerals: lithium, cobalt, nickel, and manganese. We compare the nickel manganese cobalt (NMC) and lithium iron phosphate (LFP) cathode chemistries by (1) mapping the supply chains for these four materials, (2) calculating a vulnerability index for each cathode chemistry for various focal countries and (3) using network flow optimization to bound u",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Comparing costs and climate impacts of various electric vehicle charging systems across the United States",
"doi": "10.1038/s41467-024-49157-5",
"url": "https://doi.org/10.1038/s41467-024-49157-5",
"journal": "Nature Communications",
"year": 2024,
"authors": "Horesh, N.; Trinko, D.; Quinn, J.",
"abstract": "AbstractThe seamless adoption of electric vehicles (EVs) in the United States necessitates the development of extensive and effective charging infrastructure. Various charging systems have been proposed, including Direct Current Fast Charging, Battery Swapping, and Dynamic Wireless Power Transfer. While many studies have evaluated the charging costs and greenhouse gas (GHG) intensity of EVs, a comprehensive analysis comparing these systems and their implications across vehicle categories remains",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Effects of electric vehicle charging stations on the economic vitality of local businesses",
"doi": "10.1038/s41467-024-51554-9",
"url": "https://doi.org/10.1038/s41467-024-51554-9",
"journal": "Nature Communications",
"year": 2024,
"authors": "Zheng, Y.; Keith, D.; Wang, S.; Diao, M.; Zhao, J.",
"abstract": "AbstractElectric vehicle charging stations (EVCS) are essential for promoting cleaner transportation by facilitating electric vehicle recharging. This study explores their broader economic impact on nearby businesses, analyzing data from over 4000 EVCS and 140,000 business establishments in California. Results show that installing one EVCS boosts annual spending at a nearby establishment by 1.4% ($1,478) in 2019 and 0.8% ($404) from January 2021 to June 2023. The effect is more pronounced when a",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Author Correction: Comparing costs and climate impacts of various electric vehicle charging systems across the United States",
"doi": "10.1038/s41467-024-49525-1",
"url": "https://doi.org/10.1038/s41467-024-49525-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Horesh, N.; Trinko, D.; Quinn, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Climate impacts of critical mineral supply chain bottlenecks for electric vehicle deployment",
"doi": "10.1038/s41467-024-51152-9",
"url": "https://doi.org/10.1038/s41467-024-51152-9",
"journal": "Nature Communications",
"year": 2024,
"authors": "Woodley, L.; See, C.; Cook, P.; Yeo, M.; Palmer, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Power supply disruptions deter electric vehicle adoption in cities in China",
"doi": "10.1038/s41467-024-50447-1",
"url": "https://doi.org/10.1038/s41467-024-50447-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Qiu, Y.; Deng, N.; Wang, B.; Shen, X.; Wang, Z.",
"abstract": "AbstractElectrification plays a crucial role in deep decarbonization. However, electrification and power infrastructure can cause mutual challenges. We use nationwide power outage and electric vehicle adoption data in China to provide empirical evidence on how power infrastructure failures can deter electrification. We find that when the number of power outages per district increases by 1 in a given month, the number of new electric vehicles adopted per month decreases by 0.99%. A doubling of po",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Offshore wind and wave energy can reduce total installed capacity required in zero-emissions grids",
"doi": "10.1038/s41467-024-50040-6",
"url": "https://doi.org/10.1038/s41467-024-50040-6",
"journal": "Nature Communications",
"year": 2024,
"authors": "Gonzalez, N.; Serna-Torre, P.; Sánchez-Pérez, P.; Davidson, R.; Murray, B.",
"abstract": "Abstract\n As the world races to decarbonize power systems to mitigate climate change, the body of research analyzing paths to zero emissions electricity grids has substantially grown. Although studies typically include commercially available technologies, few of them consider offshore wind and wave energy as contenders in future zero-emissions grids. Here, we model with high geographic resolution both offshore wind and wave energy as independent technologies with the possibility",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Public agreement with misinformation about wind farms",
"doi": "10.1038/s41467-024-53278-2",
"url": "https://doi.org/10.1038/s41467-024-53278-2",
"journal": "Nature Communications",
"year": 2024,
"authors": "Winter, K.; Hornsey, M.; Pummerer, L.; Sassenberg, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimal blade pitch control for enhanced vertical-axis wind turbine performance",
"doi": "10.1038/s41467-024-46988-0",
"url": "https://doi.org/10.1038/s41467-024-46988-0",
"journal": "Nature Communications",
"year": 2024,
"authors": "Le Fouest, S.; Mulleners, K.",
"abstract": "Abstract\n Vertical-axis wind turbines are great candidates to enable wind power extraction in urban and off-shore applications. Currently, concerns around turbine efficiency and structural integrity limit their industrial deployment. Flow control can mitigate these concerns. Here, we experimentally demonstrate the potential of individual blade pitching as a control strategy and explain the flow physics that yields the performance enhancement. We perform automated experiments usi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Micromachined structures decoupling Joule heating and electron wind force",
"doi": "10.1038/s41467-024-50351-8",
"url": "https://doi.org/10.1038/s41467-024-50351-8",
"journal": "Nature Communications",
"year": 2024,
"authors": "Gu, S.; Kimura, Y.; Yan, X.; Liu, C.; Cui, Y.",
"abstract": "AbstractMicrostructural changes in conductive materials induced by electric current treatments, such as electromigration and electroplasticity, are critical in semiconductor and metal processing. However, owing to the inevitable thermal effect (Joule heating), the athermal effect on microstructural modifications remains obscure. This paper presents an approach of utilizing pre-micromachined structures, which obstruct current flow but maintain a thermal history similar to that of the matrix, effe",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Competing effects of wind and buoyancy forcing on ocean oxygen trends in recent decades",
"doi": "10.1038/s41467-024-53557-y",
"url": "https://doi.org/10.1038/s41467-024-53557-y",
"journal": "Nature Communications",
"year": 2024,
"authors": "Hollitzer, H.; Patara, L.; Terhaar, J.; Oschlies, A.",
"abstract": "Abstract\n Ocean deoxygenation is becoming a major stressor for marine ecosystems due to anthropogenic climate change. Two major pathways through which climate change affects ocean oxygen are changes in wind fields and changes in air-sea heat and freshwater fluxes. Here, we use a global ocean biogeochemistry model run under historical atmospheric forcing to show that wind stress is the dominant driver of year-to-year oxygen variability in most ocean regions. Only in areas of wate",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Historical changes in wind-driven ocean circulation drive pattern of Pacific warming",
"doi": "10.1038/s41467-024-45677-2",
"url": "https://doi.org/10.1038/s41467-024-45677-2",
"journal": "Nature Communications",
"year": 2024,
"authors": "Fu, S.; Hu, S.; Zheng, X.; McMonigal, K.; Larson, S.",
"abstract": "Abstract\n The tropical Pacific warming pattern since the 1950s exhibits two warming centers in the western Pacific (WP) and eastern Pacific (EP), encompassing an equatorial central Pacific (CP) cooling and a hemispheric asymmetry in the subtropical EP. The underlying mechanisms of this warming pattern remain debated. Here, we conduct ocean heat decompositions of two coupled model large ensembles to unfold the role of wind-driven ocean circulation. When wind changes are suppresse",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhanced continuous atmospheric water harvesting with scalable hygroscopic gel driven by natural sunlight and wind",
"doi": "10.1038/s41467-024-52137-4",
"url": "https://doi.org/10.1038/s41467-024-52137-4",
"journal": "Nature Communications",
"year": 2024,
"authors": "Yang, X.; Chen, Z.; Xiang, C.; Shan, H.; Wang, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Zero-Energy Water Supply",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Future sea ice weakening amplifies wind-driven trends in surface stress and Arctic Ocean spin-up",
"doi": "10.1038/s41467-024-50874-0",
"url": "https://doi.org/10.1038/s41467-024-50874-0",
"journal": "Nature Communications",
"year": 2024,
"authors": "Muilwijk, M.; Hattermann, T.; Martin, T.; Granskog, M.",
"abstract": "AbstractArctic sea ice mediates atmosphere-ocean momentum transfer, which drives upper ocean circulation. How Arctic Ocean surface stress and velocity respond to sea ice decline and changing winds under global warming is unclear. Here we show that state-of-the-art climate models consistently predict an increase in future (2015–2100) ocean surface stress in response to increased surface wind speed, declining sea ice area, and a weaker ice pack. While wind speeds increase most during fall (+2.2% p",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Historical changes in wind-driven ocean circulation drive pattern of Pacific warming",
"doi": "10.1038/s41467-024-48299-w",
"url": "https://doi.org/10.1038/s41467-024-48299-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Fu, S.; Hu, S.; Zheng, X.; McMonigal, K.; Larson, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Efficient energy conversion mechanism and energy storage strategy for triboelectric nanogenerators",
"doi": "10.1038/s41467-024-50978-7",
"url": "https://doi.org/10.1038/s41467-024-50978-7",
"journal": "Nature Communications",
"year": 2024,
"authors": "Wu, H.; Shan, C.; Fu, S.; Li, K.; Wang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transforming wearable technology with advanced ultra-flexible energy harvesting and storage solutions",
"doi": "10.1038/s41467-024-52534-9",
"url": "https://doi.org/10.1038/s41467-024-52534-9",
"journal": "Nature Communications",
"year": 2024,
"authors": "Jahandar, M.; Kim, S.; Lim, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Supercooled erythritol for high-performance seasonal thermal energy storage",
"doi": "10.1038/s41467-024-49333-7",
"url": "https://doi.org/10.1038/s41467-024-49333-7",
"journal": "Nature Communications",
"year": 2024,
"authors": "Yang, S.; Shi, H.; Liu, J.; Lai, Y.; Bayer, Ö.",
"abstract": "AbstractSeasonal storage of solar thermal energy through supercooled phase change materials (PCM) offers a promising solution for decarbonizing space and water heating in winter. Despite the high energy density and adaptability, natural PCMs often lack the necessary supercooling for stable, long-term storage. Leveraging erythritol, a sustainable mid-temperature PCM with high latent heat, we introduce a straightforward method to stabilize its supercooling by incorporating carrageenan (CG), a bio-",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Building Energy Materials",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "High-entropy relaxor ferroelectric ceramics for ultrahigh energy storage",
"doi": "10.1038/s41467-024-49107-1",
"url": "https://doi.org/10.1038/s41467-024-49107-1",
"journal": "Nature Communications",
"year": 2024,
"authors": "Peng, H.; Wu, T.; Liu, Z.; Fu, Z.; Wang, D.",
"abstract": "AbstractDielectric ceramic capacitors with ultrahigh power densities are fundamental to modern electrical devices. Nonetheless, the poor energy density confined to the low breakdown strength is a long-standing bottleneck in developing desirable dielectric materials for practical applications. In this instance, we present a high-entropy tungsten bronze-type relaxor ferroelectric achieved through an equimolar-ratio element design, which realizes a giant recoverable energy density of 11.0 J·cm−3 an",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Publisher Correction: High-entropy relaxor ferroelectric ceramics for ultrahigh energy storage",
"doi": "10.1038/s41467-024-50284-2",
"url": "https://doi.org/10.1038/s41467-024-50284-2",
"journal": "Nature Communications",
"year": 2024,
"authors": "Peng, H.; Wu, T.; Liu, Z.; Fu, Z.; Wang, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An ultraflexible energy harvesting-storage system for wearable applications",
"doi": "10.1038/s41467-024-50894-w",
"url": "https://doi.org/10.1038/s41467-024-50894-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Saifi, S.; Xiao, X.; Cheng, S.; Guo, H.; Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhanced high-temperature energy storage performances in polymer dielectrics by synergistically optimizing band-gap and polarization of dipolar glass",
"doi": "10.1038/s41467-024-52791-8",
"url": "https://doi.org/10.1038/s41467-024-52791-8",
"journal": "Nature Communications",
"year": 2024,
"authors": "Yang, M.; Ren, W.; Jin, Z.; Xu, E.; Shen, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon footprint distributions of lithium-ion batteries and their materials",
"doi": "10.1038/s41467-024-54634-y",
"url": "https://doi.org/10.1038/s41467-024-54634-y",
"journal": "Nature Communications",
"year": 2024,
"authors": "Peiseler, L.; Schenker, V.; Schatzmann, K.; Pfister, S.; Wood, V.",
"abstract": "Abstract\n \n Lithium-ion batteries are pivotal in climate change mitigation. While their own carbon footprint raises concerns, existing studies are scattered, hard to compare and largely overlook the relevance of battery materials. Here, we go beyond traditional carbon footprint analysis and develop a cost-based approach, estimating emission curves for battery materials lithium, nickel and cobalt, based on mining cost data. Combining the emission curves with re",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Effect of adaptive cruise control on fuel consumption in real-world driving conditions",
"doi": "10.1038/s41467-024-54066-8",
"url": "https://doi.org/10.1038/s41467-024-54066-8",
"journal": "Nature Communications",
"year": 2024,
"authors": "Moawad, A.; Zebiak, M.; Han, J.; Karbowski, D.; Zhang, Y.",
"abstract": "Abstract\n This paper presents a comprehensive analysis of the impact of adaptive cruise control on energy consumption in real-world driving conditions based on a natural experiment: a large-scale observational dataset of driving data from a diverse fleet of vehicles and drivers. The analysis is conducted at two different fidelity levels: (1) a macroscopic trip-level benefit estimate that compares trips with and without cruise control in a counterfactual way using statistical met",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An economic demand-based framework for prioritization strategies in response to transient amino acid limitations",
"doi": "10.1038/s41467-024-51769-w",
"url": "https://doi.org/10.1038/s41467-024-51769-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Gupta, R.; Adhikary, S.; Dalpatraj, N.; Laxman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Position- and scale-invariant object-centered spatial localization in monkey frontoparietal cortex dynamically adapts to cognitive demand",
"doi": "10.1038/s41467-024-47554-4",
"url": "https://doi.org/10.1038/s41467-024-47554-4",
"journal": "Nature Communications",
"year": 2024,
"authors": "Taghizadeh, B.; Fortmann, O.; Gail, A.",
"abstract": "Abstract\n Egocentric encoding is a well-known property of brain areas along the dorsal pathway. Different to previous experiments, which typically only demanded egocentric spatial processing during movement preparation, we designed a task where two male rhesus monkeys memorized an on-the-object target position and then planned a reach to this position after the object re-occurred at variable location with potentially different size. We found allocentric (in addition to egocentri",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Demand for low-quality offsets by major companies undermines climate integrity of the voluntary carbon market",
"doi": "10.1038/s41467-024-51151-w",
"url": "https://doi.org/10.1038/s41467-024-51151-w",
"journal": "Nature Communications",
"year": 2024,
"authors": "Trencher, G.; Nick, S.; Carlson, J.; Johnson, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Energy from buildings is key to a warming climate",
"doi": "10.1038/s41558-024-02131-x",
"url": "https://doi.org/10.1038/s41558-024-02131-x",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "González-Cruz, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Energy from buildings is key to a warming climate",
"doi": "10.1038/s41558-024-02163-3",
"url": "https://doi.org/10.1038/s41558-024-02163-3",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "González-Cruz, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Just Energy Transition Partnerships and the future of coal",
"doi": "10.1038/s41558-024-02086-z",
"url": "https://doi.org/10.1038/s41558-024-02086-z",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Ordonez, J.; Vandyck, T.; Keramidas, K.; Garaffa, R.; Weitzel, M.",
"abstract": "AbstractRecent climate diplomacy efforts have resulted in Just Energy Transition Partnerships (JETPs) with South Africa, Indonesia and Vietnam, mobilizing financial support for ambitious decarbonization targets. Here, to assess JETPs’ alignment with global climate targets, we conduct a model-based assessment of JETPs’ energy and emissions targets. Results show greater alignment with a global 1.5 °C trajectory, indicating a promising route for international collaboration to keep Paris Agreement g",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Aligning renewable energy expansion with climate-driven range shifts",
"doi": "10.1038/s41558-024-01941-3",
"url": "https://doi.org/10.1038/s41558-024-01941-3",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Ashraf, U.; Morelli, T.; Smith, A.; Hernandez, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Elevated urban energy risks due to climate-driven biophysical feedbacks",
"doi": "10.1038/s41558-024-02108-w",
"url": "https://doi.org/10.1038/s41558-024-02108-w",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Li, X.; Zhao, L.; Qin, Y.; Oleson, K.; Zhang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Aligning renewable energy expansion with climate-driven range shifts",
"doi": "10.1038/s41558-024-02216-7",
"url": "https://doi.org/10.1038/s41558-024-02216-7",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Ashraf, U.; Morelli, T.; Smith, A.; Hernandez, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate change will impact the value and optimal adoption of residential rooftop solar",
"doi": "10.1038/s41558-024-01978-4",
"url": "https://doi.org/10.1038/s41558-024-01978-4",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Shi, M.; Lu, X.; Craig, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Russian collaboration loss risks permafrost carbon emissions network",
"doi": "10.1038/s41558-024-02001-6",
"url": "https://doi.org/10.1038/s41558-024-02001-6",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Schuur, E.; Pallandt, M.; Göckede, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Model-based financial regulations impair the transition to net-zero carbon emissions",
"doi": "10.1038/s41558-024-01972-w",
"url": "https://doi.org/10.1038/s41558-024-01972-w",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Gasparini, M.; Ives, M.; Carr, B.; Fry, S.; Beinhocker, E.",
"abstract": "Abstract\n Investments via the financial system are essential for fostering the green transition. However, the role of existing financial regulations in influencing investment decisions is understudied. Here we analyse data from the European Banking Authority to show that existing financial accounting frameworks might inadvertently be creating disincentives for investments in low-carbon assets. We find that differences in the provision coverage ratio indicate that banks must acco",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Carbon Asset Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Widespread misestimates of greenhouse gas emissions suggest low carbon competence",
"doi": "10.1038/s41558-024-02032-z",
"url": "https://doi.org/10.1038/s41558-024-02032-z",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Johnson, E.; Sugerman, E.; Morwitz, V.; Johar, G.; Morris, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Relaxing fertility policies and delaying retirement age increase China’s carbon emissions",
"doi": "10.1038/s41558-024-02145-5",
"url": "https://doi.org/10.1038/s41558-024-02145-5",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Tang, L.; Yang, J.; Zheng, J.; Sun, X.; Cheng, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Methane oxidation minimizes emissions and offsets to carbon burial in mangroves",
"doi": "10.1038/s41558-024-01927-1",
"url": "https://doi.org/10.1038/s41558-024-01927-1",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Cotovicz, L.; Abril, G.; Sanders, C.; Tait, D.; Maher, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Assessing the impacts of fertility and retirement policies on China’s carbon emissions",
"doi": "10.1038/s41558-024-02162-4",
"url": "https://doi.org/10.1038/s41558-024-02162-4",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Tang, L.; Yang, J.; Zheng, J.; Sun, X.; Cheng, L.",
"abstract": "AbstractThe gradual adjustment of fertility and retirement policies in China has social benefits in terms of coping with population aging. However, the environmental consequences of these policies remain ambiguous. Here we compile environmentally extended multiregional input–output tables to estimate household carbon footprints for different population age groups in China. Subsequently, we estimate the age-sex-specific population under different fertility policies up to 2060 and assess the impac",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "How demand-side mitigation can help shape effective climate policies",
"doi": "10.1038/s41558-024-02148-2",
"url": "https://doi.org/10.1038/s41558-024-02148-2",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Zhu, L.; Liu, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Using cost–benefit analyses to identify key opportunities in demand-side mitigation",
"doi": "10.1038/s41558-024-02146-4",
"url": "https://doi.org/10.1038/s41558-024-02146-4",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Tan-Soo, J.; Qin, P.; Quan, Y.; Li, J.; Wang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Supply, demand and polarization challenges facing US climate policies",
"doi": "10.1038/s41558-023-01906-y",
"url": "https://doi.org/10.1038/s41558-023-01906-y",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Burgess, M.; Van Boven, L.; Wagner, G.; Wong-Parodi, G.; Baker, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Demand-side strategies key for mitigating material impacts of energy transitions",
"doi": "10.1038/s41558-024-02016-z",
"url": "https://doi.org/10.1038/s41558-024-02016-z",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Creutzig, F.; Simoes, S.; Leipold, S.; Berrill, P.; Azevedo, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The role of electric grid research in addressing climate change",
"doi": "10.1038/s41558-024-02092-1",
"url": "https://doi.org/10.1038/s41558-024-02092-1",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Xie, L.; Majumder, S.; Huang, T.; Zhang, Q.; Chang, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Offshoring emissions through used vehicle exports",
"doi": "10.1038/s41558-024-01943-1",
"url": "https://doi.org/10.1038/s41558-024-01943-1",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Newman, S.; Schulte, K.; Morellini, M.; Rahal, C.; Leasure, D.",
"abstract": "AbstractPolicies to reduce transport emissions often overlook the international flow of used vehicles. We quantify the rate at which used vehicles generated CO2 and pollution for all used vehicles exported from Great Britain—a globally leading used vehicle exporter—across 2005–2021. Destined for low–middle-income countries, exported vehicles fail roadworthiness standards and, even under extremely optimistic ‘functioning-as-new’ assumptions, generate at least 13–53% more emissions than scrapped o",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Publisher Correction: Offshoring emissions through used vehicle exports",
"doi": "10.1038/s41558-024-01965-9",
"url": "https://doi.org/10.1038/s41558-024-01965-9",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Newman, S.; Schulte, K.; Morellini, M.; Rahal, C.; Leasure, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Wind changes enhance ENSO",
"doi": "10.1038/s41558-024-02228-3",
"url": "https://doi.org/10.1038/s41558-024-02228-3",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Wake, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "North Atlantic–Pacific salinity contrast enhanced by wind and ocean warming",
"doi": "10.1038/s41558-024-02033-y",
"url": "https://doi.org/10.1038/s41558-024-02033-y",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Lu, Y.; Li, Y.; Lin, P.; Cheng, L.; Ge, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Major step up in carbon capture and storage needed to keep warming below 2 °C",
"doi": "10.1038/s41558-024-02112-0",
"url": "https://doi.org/10.1038/s41558-024-02112-0",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Cross-border CO2 transport decreases public acceptance of carbon capture and storage",
"doi": "10.1038/s41558-024-02023-0",
"url": "https://doi.org/10.1038/s41558-024-02023-0",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Anders, S.; Liebe, U.; Meyerhoff, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Feasible deployment of carbon capture and storage and the requirements of climate targets",
"doi": "10.1038/s41558-024-02104-0",
"url": "https://doi.org/10.1038/s41558-024-02104-0",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Kazlou, T.; Cherp, A.; Jewell, J.",
"abstract": "Abstract\n \n Climate change mitigation requires the large-scale deployment of carbon capture and storage (CCS). Recent plans indicate an eight-fold increase in CCS capacity by 2030, yet the feasibility of CCS expansion is debated. Using historical growth of CCS and other policy-driven technologies, we show that if plans double between 2023 and 2025 and their failure rates decrease by half, CCS could reach 0.37 GtCO\n 2 \n yr\n",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Underestimation of personal carbon footprint inequality in four diverse countries",
"doi": "10.1038/s41558-024-02130-y",
"url": "https://doi.org/10.1038/s41558-024-02130-y",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Nielsen, K.; Bauer, J.; Debnath, R.; Emogor, C.; Geiger, S.",
"abstract": "AbstractExtensive research highlights global and within-country inequality in personal carbon footprints. However, the extent to which people are aware of these inequalities remains unclear. Here we use an online survey distributed across four diverse countries: Denmark, India, Nigeria and the USA, to show widespread underestimation of carbon footprint inequality, irrespective of participants’ country and income segment. Of the 4,003 participants, within each country, 50% of participants were sa",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Cautious carbon removal",
"doi": "10.1038/s41558-024-02048-5",
"url": "https://doi.org/10.1038/s41558-024-02048-5",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ancient carbon released",
"doi": "10.1038/s41558-024-02125-9",
"url": "https://doi.org/10.1038/s41558-024-02125-9",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Royle, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Africa’s carbon budget",
"doi": "10.1038/s41558-024-02014-1",
"url": "https://doi.org/10.1038/s41558-024-02014-1",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Royle, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mapping oceanic carbon potential",
"doi": "10.1038/s41558-024-02135-7",
"url": "https://doi.org/10.1038/s41558-024-02135-7",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Pilcher, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Tree movements promote carbon sink",
"doi": "10.1038/s41558-024-02059-2",
"url": "https://doi.org/10.1038/s41558-024-02059-2",
"journal": "Nature Climate Change",
"year": 2024,
"authors": "Pedlar, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy input and food output: The energy imbalance across regional agrifood systems",
"doi": "10.1093/pnasnexus/pgae524",
"url": "https://doi.org/10.1093/pnasnexus/pgae524",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Rasul, K.; Bruckner, M.; Mempel, F.; Trsek, S.; Hertwich, E.",
"abstract": "Abstract\n Biomass was the principal energy source in preindustrial societies; their agriculture provided more energy than it required. Thus, the energy return on energy investment (EROEI) needed to be >1. Recent studies have indicated that this may not be the case for modern industrialized agrifood systems (AFSs). Although the green revolution radically improved agricultural yields, it came at the expense of increased energy inputs, mainly in the form of fossil fuels. AFSs r",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ubiquitous filter feeders shape open ocean microbial community structure and function",
"doi": "10.1093/pnasnexus/pgae091",
"url": "https://doi.org/10.1093/pnasnexus/pgae091",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Thompson, A.; Nyerges, G.; Lamberson, K.; Sutherland, K.",
"abstract": "Abstract\n The mechanism of mortality plays a large role in how microorganisms in the open ocean contribute to global energy and nutrient cycling. Salps are ubiquitous pelagic tunicates that are a well-known mortality source for large phototrophic microorganisms in coastal and high-latitude systems, but their impact on the immense populations of smaller prokaryotes in the tropical and subtropical open ocean gyres is not well quantified. We used robustly quantitative techniques to me",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Biologically generated turbulent energy flux in shear flow depends on tensor geometry",
"doi": "10.1093/pnasnexus/pgae056",
"url": "https://doi.org/10.1093/pnasnexus/pgae056",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Si, X.; Fang, L.",
"abstract": "Abstract\n It has been proposed that biologically generated turbulence plays an important role in material transport and ocean mixing. Both experimental and numerical studies have reported evidence of the nonnegligible mixing by moderate Reynolds number swimmers, such as zooplankton, in quiescent water, especially at aggregation scales. However, the interaction between biologically generated agitation and the background flow, as a key factor in biologically generated turbulence that",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics",
"doi": "10.1093/pnasnexus/pgae467",
"url": "https://doi.org/10.1093/pnasnexus/pgae467",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Makke, N.; Chawla, S.",
"abstract": "Abstract\n The application of atificial intelligence (AI) in fundamental physics has faced limitations due to its inherently uninterpretable nature, which is less conducive to solving physical problems where natural phenomena are expressed in human-understandable language, i.e. mathematical equations. Fortunately, there exists a form of interpretable AI that aligns seamlessly with this requirement, namely, symbolic regression (SR), which learns mathematical equations directly from d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The role of advanced nuclear reactors and fuel cycles in a future energy system",
"doi": "10.1093/pnasnexus/pgae030",
"url": "https://doi.org/10.1093/pnasnexus/pgae030",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Kornecki, K.; Wise, C.",
"abstract": "Abstract\n Nuclear power has been an important part of the US electricity system since the 1950s and continues to be a major source of low-carbon electricity today. Despite having low emissions, high grid reliability, and an excellent track record of safety, nuclear power also demands significant time and upfront capital to deploy, can struggle to compete economically with other generation sources, has intrinsic proliferation risk by relying on fissile material for fuel, and generat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Storm and tidal interactions control sediment exchange in mixed-energy coastal systems",
"doi": "10.1093/pnasnexus/pgae042",
"url": "https://doi.org/10.1093/pnasnexus/pgae042",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Georgiou, I.; FitzGerald, D.; Hanegan, K.",
"abstract": "Abstract\n Storms can have devasting effects on shorelines, causing flooding and the destruction of property and infrastructure. As global warming and the frequency and magnitude of tropical storms increase, barrier islands comprising 10% of the world's coast may undergo significant change caused by beach erosion, loss of dunes, and formation of washovers and tidal inlets. Understanding how storms affect sediment transport at tidal inlets is an understudied subject that directly inf",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Effective data-driven collective variables for free energy calculations from metadynamics of paths",
"doi": "10.1093/pnasnexus/pgae159",
"url": "https://doi.org/10.1093/pnasnexus/pgae159",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Müllender, L.; Rizzi, A.; Parrinello, M.; Carloni, P.; Mandelli, D.",
"abstract": "Abstract\n A variety of enhanced sampling (ES) methods predict multidimensional free energy landscapes associated with biological and other molecular processes as a function of a few selected collective variables (CVs). The accuracy of these methods is crucially dependent on the ability of the chosen CVs to capture the relevant slow degrees of freedom of the system. For complex processes, finding such CVs is the real challenge. Machine learning (ML) CVs offer, in principle, a soluti",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An energy and information analysis method of logic gates based on stochastic thermodynamics",
"doi": "10.1093/pnasnexus/pgae365",
"url": "https://doi.org/10.1093/pnasnexus/pgae365",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Ge, X.; Ruan, M.; Peng, X.; Xiao, Y.; Yang, Y.",
"abstract": "Abstract\n To reduce the energy consumption of logic gates in digital circuits, the size of transistors approaches the mesoscopic scale, e.g. sub-7 nanometers. However, existing energy consumption analysis methods exhibit various deviation for logic gates when the nonequilibrium information processing of mesoscopic scale transistors with ultra-low voltages is analyzed. Based on the stochastic thermodynamics theory, an information energy ratio method is proposed for the energy consum",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying energy transition vulnerability helps more just and inclusive decarbonization",
"doi": "10.1093/pnasnexus/pgae427",
"url": "https://doi.org/10.1093/pnasnexus/pgae427",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Shen, Y.; Shi, X.; Zhao, Z.; Grafton, R.; Yu, J.",
"abstract": "Abstract\n The COP28 agreement signals “beginning of the end” of the fossil fuel era, calling on countries to contribute to global efforts to transition away from fossil fuels in energy systems in a just, orderly and equitable manner. While a quantitative assessment of country's vulnerability in energy transition is a prerequisite for national and international policy makers to ensure a just and inclusive transition, it is notably absent in the existing research. Here, we develop a ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Microphase iron particle growth promoted by solar wind implantation in lunar soils",
"doi": "10.1093/pnasnexus/pgae450",
"url": "https://doi.org/10.1093/pnasnexus/pgae450",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Lu, X.; Chen, J.; Cao, H.; Fu, X.; Zeng, X.",
"abstract": "Abstract\n Lunar soils record the history and spectral changes resulting from the space-weathering process. The solar wind and micrometeoroids are the main space-weathering agents leading to darkening (decreasing albedo) and reddening (increasing reflectance with longer wavelength) of visible and near-infrared spectra. Nevertheless, their relative contributions are not well constrained and understood. In this study, we examine the near-infrared spectral variation as a function of lu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Effects of firebricks for industrial process heat on the cost of matching all-sector energy demand with 100% wind–water–solar supply in 149 countries",
"doi": "10.1093/pnasnexus/pgae274",
"url": "https://doi.org/10.1093/pnasnexus/pgae274",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Jacobson, M.; Sambor, D.; Fan, Y.; Mühlbauer, A.",
"abstract": "AbstractRefractory bricks are bricks that can withstand high temperatures without damage to their structures. They have been used to insulate kilns, furnaces, and other hot enclosures for thousands of years. Firebricks are refractory bricks that can, with one composition, store heat, and with another, insulate the firebricks that store the heat. Because firebricks are made from common materials, the cost per kilowatt-hour-thermal of a firebrick storage system is less than one-tenth the cost per ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions",
"doi": "10.1093/pnasnexus/pgae028",
"url": "https://doi.org/10.1093/pnasnexus/pgae028",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Zhang, P.; Zhang, L.; Hao, Y.; Xu, M.; Pang, M.",
"abstract": "Abstract\n Urban sustainability is a key to achieving the UN sustainable development goals (SDGs). Secure and efficient provision of food, energy, and water (FEW) resources is a critical strategy for urban sustainability. While there has been extensive discussion on the positive effects of the FEW nexus on resource efficiency and climate impacts, measuring the extent to which such synergy can benefit urban sustainability remains challenging. Here, we have developed a systematic and ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Correction to: Hazardous air pollutant emissions estimates from wildfires in the wildland urban interface",
"doi": "10.1093/pnasnexus/pgae410",
"url": "https://doi.org/10.1093/pnasnexus/pgae410",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Prioritizing social vulnerability in urban heat mitigation",
"doi": "10.1093/pnasnexus/pgae360",
"url": "https://doi.org/10.1093/pnasnexus/pgae360",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Fung, K.; Yang, Z.; Martilli, A.; Krayenhoff, E.; Niyogi, D.",
"abstract": "Abstract\n We utilized city-scale simulations to quantitatively compare the diverse urban overheating mitigation strategies, specifically tied to social vulnerability and their cooling efficacies during heatwaves. We enhanced the Weather Research and Forecasting model to encompass the urban tree effect and calculate the Universal Thermal Climate Index for assessing thermal comfort. Taking Houston, Texas, and United States as an example, the study reveals that equitably mitigating ur",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A mirror-image experiment: Sorting carbon nanotubes by L-DNA",
"doi": "10.1093/pnasnexus/pgaf013",
"url": "https://doi.org/10.1093/pnasnexus/pgaf013",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Zheng, M.; Sha, R.",
"abstract": "Abstract\n DNA has found increasing applications in molecular engineering, yet its chiral property has rarely been utilized. Here, we report a mirror-image experiment using naturally occurring D-DNA and its enantiomer L-DNA to sort a chiral mixture of single-wall carbon nanotubes (SWCNTs). We find that parity conservation leads to a robust experimental outcome: changing DNA chirality results in handedness inversion of the purified nanotube. This finding provides a straightforward so",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Astronomy’s climate emissions: Global travel to scientific meetings in 2019",
"doi": "10.1093/pnasnexus/pgae143",
"url": "https://doi.org/10.1093/pnasnexus/pgae143",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Gokus, A.; Jahnke, K.; Woods, P.; Moss, V.; Ossenkopf-Okada, V.",
"abstract": "Abstract\n Travel to academic conferences—where international flights are the norm—is responsible for a sizeable fraction of the greenhouse gas (GHG) emissions associated with academic work. In order to provide a benchmark for comparison with other fields, as well as for future reduction strategies and assessments, we estimate the CO2-equivalent emissions for conference travel in the field of astronomy for the prepandemic year 2019. The GHG emission of the international astronomical",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Leakage of old carbon dioxide from a major river system in the Canadian Arctic",
"doi": "10.1093/pnasnexus/pgae134",
"url": "https://doi.org/10.1093/pnasnexus/pgae134",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Dasari, S.; Garnett, M.; Hilton, R.",
"abstract": "Abstract\n The Canadian Arctic is warming at an unprecedented rate. Warming-induced permafrost thaw can lead to mobilization of aged carbon from stores in soils and rocks. Tracking the carbon pools supplied to surrounding river networks provides insight on pathways and processes of greenhouse gas release. Here, we investigated the dual-carbon isotopic characteristics of the dissolved inorganic carbon (DIC) pool in the main stem and tributaries of the Mackenzie River system. The radi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Incorporating platinum circular economy into China’s hydrogen pathways toward carbon neutrality",
"doi": "10.1093/pnasnexus/pgae172",
"url": "https://doi.org/10.1093/pnasnexus/pgae172",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Wang, P.; Wang, C.; Li, J.; Hubacek, K.; Sun, L.",
"abstract": "Abstract\n Hydrogen is gaining tremendous traction in China as the fuel of the future to support the country’s carbon neutrality ambition. Despite that hydrogen as fuel largely hinges on the supply of platinum (Pt), the dynamic interlinkage between Pt supply challenges, hydrogen development pathways, and climate targets in China has yet to be deeply analyzed. Here, we adopt an integrated assessment model to address this important concern and corresponding strategies for China. The r",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Disruption of the bacterial OLE RNP complex impairs growth on alternative carbon sources",
"doi": "10.1093/pnasnexus/pgae075",
"url": "https://doi.org/10.1093/pnasnexus/pgae075",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Lyon, S.; Wencker, F.; Fernando, C.; Harris, K.; Breaker, R.",
"abstract": "Abstract\n Ornate, large, extremophilic (OLE) RNAs comprise a class of large noncoding RNAs in bacteria whose members form a membrane-associated ribonucleoprotein (RNP) complex. This complex facilitates cellular adaptation to diverse stresses such as exposure to cold, short-chain alcohols, and elevated Mg2+ concentrations. Here, we report additional phenotypes exhibited by Halalkalibacterium halodurans (formerly called Bacillus halodurans) strains lacking functional OLE RNP complexe",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Robust capital cost optimization of generation and multitimescale storage requirements for a 100% renewable Australian electricity grid",
"doi": "10.1093/pnasnexus/pgae127",
"url": "https://doi.org/10.1093/pnasnexus/pgae127",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Shaikh, R.; Vowles, D.; Dinovitser, A.; Allison, A.; Abbott, D.",
"abstract": "Abstract\n Transitioning from a fossil-fuel-dependent economy to one based on renewable energy requires significant investment and technological advancement. While wind and solar technologies provide lower cost electricity, enhanced energy storage and transmission infrastructure come at a cost for managing renewable intermittency. Energy storage systems vary in characteristics and costs, and future grids will incorporate multiple technologies, yet the optimal combination of storage ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Cocaine diminishes functional network robustness and destabilizes the energy landscape of neuronal activity in the medial prefrontal cortex",
"doi": "10.1093/pnasnexus/pgae092",
"url": "https://doi.org/10.1093/pnasnexus/pgae092",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Borzou, A.; Miller, S.; Hommel, J.; Schwarz, J.",
"abstract": "Abstract\n We present analysis of neuronal activity recordings from a subset of neurons in the medial prefrontal cortex of rats before and after the administration of cocaine. Using an underlying modern Hopfield model as a description for the neuronal network, combined with a machine learning approach, we compute the underlying functional connectivity of the neuronal network. We find that the functional connectivity changes after the administration of cocaine with both functional-ex",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A biospecies-derived genomic DNA hybrid gel electrolyte for electrochemical energy storage",
"doi": "10.1093/pnasnexus/pgae213",
"url": "https://doi.org/10.1093/pnasnexus/pgae213",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Mitta, S.; Kim, J.; Rana, H.; Kokkiligadda, S.; Lim, Y.",
"abstract": "Abstract\n Intrinsic impediments, namely weak mechanical strength, low ionic conductivity, low electrochemical performance, and stability have largely inhibited beyond practical applications of hydrogels in electronic devices and remains as a significant challenge in the scientific world. Here, we report a biospecies-derived genomic DNA hybrid gel electrolyte with many synergistic effects, including robust mechanical properties (mechanical strength and elongation of 6.98 MPa and 997",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "China's progress in synergetic governance of climate change and multiple environmental issues",
"doi": "10.1093/pnasnexus/pgae351",
"url": "https://doi.org/10.1093/pnasnexus/pgae351",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Yang, J.; Zhao, Z.; Fang, W.; Ma, Z.; Liu, M.",
"abstract": "Abstract\n Advancing the synergetic control of climate change and environmental crisis is crucial for achieving global sustainable development goals. This study evaluates synergetic governance levels over climate change and four environmental issues at the provincial level in China from 2009 to 2020. Our findings reveal significant progress in China's coordinated efforts to mitigate carbon emissions, reduce air pollutants, and conserve water resources. However, there remains room fo",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Catch the wind: Optimizing wind turbine power generation by addressing wind veer effects",
"doi": "10.1093/pnasnexus/pgae480",
"url": "https://doi.org/10.1093/pnasnexus/pgae480",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Gao, L.; Milliren, C.; Dasari, T.; Knoll, A.; Hong, J.",
"abstract": "Abstract\n Wind direction variability with height, known as “wind veer,” results in power losses for wind turbines (WTs) that rely on single-point wind measurements at the turbine nacelles. To address this challenge, we introduce a yaw control strategy designed to optimize turbine alignment by adjusting the yaw angle based on specific wind veer conditions, thereby boosting power generation efficiency. This strategy integrates modest yaw offset angles into the existing turbine contro",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Deciphering the variability in air-sea gas transfer due to sea state and wind history",
"doi": "10.1093/pnasnexus/pgae389",
"url": "https://doi.org/10.1093/pnasnexus/pgae389",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Yang, M.; Moffat, D.; Dong, Y.; Bidlot, J.",
"abstract": "Abstract\n Understanding processes driving air-sea gas transfer and being able to model both its mean and variability are critical for studies of climate and carbon cycle. The air-sea gas transfer velocity (K660) is almost universally parameterized as a function of wind speed in large scale models—an oversimplification that buries the mechanisms controlling K660 and neglects much natural variability. Sea state has long been speculated to affect gas transfer, but consistent relations",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhancing molecular oxygen activation by nitrogen-doped carbon encapsulating FeNi alloys with ultra-low Pt loading",
"doi": "10.1093/pnasnexus/pgae594",
"url": "https://doi.org/10.1093/pnasnexus/pgae594",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Zhu, D.; Huang, Y.; Shi, X.; Li, R.; Wang, Z.",
"abstract": "Abstract\n Modulating the electronic structure of noble metals via electronic metal–support interaction (EMSI) has been proven effectively for facilitating molecular oxygen activation and catalytic oxidation reactions. Nevertheless, the investigation of the fundamental mechanisms underlying activity enhancement has primarily focused on metal oxides as supports, especially in the catalytic degradation of volatile organic compounds. In this study, a novel Pt catalyst supported on nitr",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Release of ballast material during sea-ice melt enhances carbon export in the Arctic Ocean",
"doi": "10.1093/pnasnexus/pgae081",
"url": "https://doi.org/10.1093/pnasnexus/pgae081",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Swoboda, S.; Krumpen, T.; Nöthig, E.; Metfies, K.; Ramondenc, S.",
"abstract": "Abstract\n Globally, the most intense uptake of anthropogenic carbon dioxide (CO2) occurs in the Atlantic north of 50°N, and it has been predicted that atmospheric CO2 sequestration in the Arctic Ocean will increase as a result of ice-melt and increased primary production. However, little is known about the impact of pan-Arctic sea-ice decline on carbon export processes. We investigated the potential ballasting effect of sea-ice derived material on settling aggregates and carbon exp",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An integrated experimental–modeling approach to identify key processes for carbon mineralization in fractured mafic and ultramafic rocks",
"doi": "10.1093/pnasnexus/pgae388",
"url": "https://doi.org/10.1093/pnasnexus/pgae388",
"journal": "npj Clean Energy",
"year": 2024,
"authors": "Neil, C.; Yang, Y.; Nisbet, H.; Iyare, U.; Boampong, L.",
"abstract": "Abstract\n Controlling atmospheric warming requires immediate reduction of carbon dioxide (CO2) emissions, as well as the active removal and sequestration of CO2 from current point sources. One promising proposed strategy to reduce atmospheric CO2 levels is geologic carbon sequestration (GCS), where CO2 is injected into the subsurface and reacts with the formation to precipitate carbonate minerals. Rapid mineralization has recently been reported for field tests in mafic and ultramaf",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Green roofs save energy in cities and fight regional climate change",
"doi": "10.1038/s44284-024-00035-7",
"url": "https://doi.org/10.1038/s44284-024-00035-7",
"journal": "Nature Cities",
"year": 2024,
"authors": "Adilkhanova, I.; Santamouris, M.; Yun, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Urban rooftops for food and energy in China",
"doi": "10.1038/s44284-024-00127-4",
"url": "https://doi.org/10.1038/s44284-024-00127-4",
"journal": "Nature Cities",
"year": 2024,
"authors": "Yang, R.; Xu, C.; Zhang, H.; Wang, Z.; Pradhan, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying the energy impact of heat mitigation technologies at the urban scale",
"doi": "10.1038/s44284-023-00005-5",
"url": "https://doi.org/10.1038/s44284-023-00005-5",
"journal": "Nature Cities",
"year": 2024,
"authors": "Haddad, S.; Zhang, W.; Paolini, R.; Gao, K.; Altheeb, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rooftop photovoltaic solar panels warm up and cool down cities",
"doi": "10.1038/s44284-024-00137-2",
"url": "https://doi.org/10.1038/s44284-024-00137-2",
"journal": "Nature Cities",
"year": 2024,
"authors": "Khan, A.; Anand, P.; Garshasbi, S.; Khatun, R.; Khorat, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Strategic interactions for carbon emissions in Chinese cities are influenced by mayors",
"doi": "10.1038/s44284-024-00059-z",
"url": "https://doi.org/10.1038/s44284-024-00059-z",
"journal": "Nature Cities",
"year": 2024,
"authors": "Zhu, B.; Wei, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cities as carbon sinks can also provide additional mitigation and adaptation co-benefits",
"doi": "10.1038/s44284-024-00070-4",
"url": "https://doi.org/10.1038/s44284-024-00070-4",
"journal": "Nature Cities",
"year": 2024,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Outsourced carbon mitigation efforts of Chinese cities from 2012 to 2017",
"doi": "10.1038/s44284-024-00088-8",
"url": "https://doi.org/10.1038/s44284-024-00088-8",
"journal": "Nature Cities",
"year": 2024,
"authors": "Xia, C.; Zheng, H.; Meng, J.; Shan, Y.; Liang, X.",
"abstract": "AbstractOutsourced carbon mitigation between cities means that some cities benefit from the carbon mitigation efforts of other cities more than their own. This problem conceals the recognition of cities’ mitigation contributions. Here we quantify local and outsourced carbon mitigation levels from 2012 to 2017 and identified ‘outsourced mitigation beneficiaries’ relying on outsourced efforts more than their own among 309 Chinese cities by using a city-level input–output model. It found that the s",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Comparing the carbon footprints of urban and conventional agriculture",
"doi": "10.1038/s44284-023-00023-3",
"url": "https://doi.org/10.1038/s44284-023-00023-3",
"journal": "Nature Cities",
"year": 2024,
"authors": "Hawes, J.; Goldstein, B.; Newell, J.; Dorr, E.; Caputo, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Publisher Correction: Comparing the carbon footprints of urban and conventional agriculture",
"doi": "10.1038/s44284-024-00044-6",
"url": "https://doi.org/10.1038/s44284-024-00044-6",
"journal": "Nature Cities",
"year": 2024,
"authors": "Hawes, J.; Goldstein, B.; Newell, J.; Dorr, E.; Caputo, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Author Correction: Comparing the carbon footprints of urban and conventional agriculture",
"doi": "10.1038/s44284-024-00066-0",
"url": "https://doi.org/10.1038/s44284-024-00066-0",
"journal": "Nature Cities",
"year": 2024,
"authors": "Hawes, J.; Goldstein, B.; Newell, J.; Dorr, E.; Caputo, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Health co-benefits of post-COVID-19 low-carbon recovery in Chinese cities",
"doi": "10.1038/s44284-024-00115-8",
"url": "https://doi.org/10.1038/s44284-024-00115-8",
"journal": "Nature Cities",
"year": 2024,
"authors": "Lu, C.; Huang, Y.; Yu, Y.; Hu, J.; Mo, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Early engagement and co-benefits strengthen cities’ climate commitments",
"doi": "10.1038/s44284-024-00052-6",
"url": "https://doi.org/10.1038/s44284-024-00052-6",
"journal": "Nature Cities",
"year": 2024,
"authors": "O’Garra, T.; Kuz, V.; Deneault, A.; Orr, C.; Chan, S.",
"abstract": "AbstractCities can lead the way in tackling climate change through robust climate actions (that is, measures taken to limit climate change or its impacts). However, escalating crises due to pandemics, conflict and climate change pose challenges to ambitious and sustained city climate action. Here we use global data on 793 cities from the Carbon Disclosure Project 2021 platform to assess how the COVID-19 crisis has affected cities’ reported climate commitments and actions and the factors associat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Open data for energy networks: introducing DAVE—a data fusion tool for automated network generation",
"doi": "10.1038/s41598-024-52199-w",
"url": "https://doi.org/10.1038/s41598-024-52199-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Banze, T.; Kneiske, T.",
"abstract": "Abstract\n Developing a sustainable energy system for the future requires new ways of planning and operating energy infrastructure. A large part of this involves suitable network models. Real network data is not available for research without restrictions since energy networks are part of the critical infrastructure. Using open datasets and expert rules to generate non-restricted models is one solution to this. This paper introduces open data for energy networks generated by the ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Optimising the manufacturing of a β-Ti alloy produced via direct energy deposition using small dataset machine learning",
"doi": "10.1038/s41598-024-57498-w",
"url": "https://doi.org/10.1038/s41598-024-57498-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Brooke, R.; Qiu, D.; Le, T.; Gibson, M.; Zhang, D.",
"abstract": "Abstract\n \n Successful additive manufacturing involves the optimisation of numerous process parameters that significantly influence product quality and manufacturing success. One commonly used criteria based on a collection of parameters is the global energy distribution (GED). This parameter encapsulates the energy input onto the surface of a build, and is a function of the laser power, laser scanning speed and laser spot size. This study uses machine learnin",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Analytical and experimental analysis of concrete temperature and energy considering open-air environmental variations",
"doi": "10.1038/s41598-024-64568-6",
"url": "https://doi.org/10.1038/s41598-024-64568-6",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Yang, W.; Li, P.; Zhuo, L.; Pang, M.; Xie, H.",
"abstract": "AbstractLongwave radiation is an important open-air environmental factor that can significantly affect the temperature of concrete, but it has often been ignored in the temperature analysis of open-air concrete structures. In this article, an improved analytical model of concrete temperature was proposed by considering solar radiation, thermal convection, thermal conduction and especially longwave radiation. Temperature monitoring of an open-air concrete block was carried out to verify the propo",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A quick comparison model on optimizing the efficiency of photovoltaic panels in collecting solar radiation",
"doi": "10.1038/s41598-024-69240-7",
"url": "https://doi.org/10.1038/s41598-024-69240-7",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Bao, Y.; Bao, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Numerical study on solar photovoltaic/thermal system with tesla valve",
"doi": "10.1038/s41598-024-61785-x",
"url": "https://doi.org/10.1038/s41598-024-61785-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Du, S.; Zou, J.; Zheng, X.; Ye, X.; Yang, H.",
"abstract": "AbstractIn recent years, photovoltaic/thermal (PV/T) systems have played a crucial role in reducing energy consumption and environmental degradation, nonetheless, the low energy conversion efficiency presents a considerable obstacle for PV/T systems. Therefore, improving heat conversion efficiency is essential to enhance energy efficiency. In this paper, the PV/T system with the Tesla valve is proposed to solve this problem. Firstly, the cooling effect is simulated and analyzed in the system wit",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm",
"doi": "10.1038/s41598-023-50890-y",
"url": "https://doi.org/10.1038/s41598-023-50890-y",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Kullampalayam Murugaiyan, N.; Chandrasekaran, K.; Manoharan, P.; Derebew, B.",
"abstract": "AbstractGiven the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter extraction presents a challenging problem. This challenge is exacerbated by the propensity of conventional algorithms to get trapped in local optima due to the complex nature of the problem. Accurate parameter estimation, nonetheless, is crucial due to its significant impact on the PV system’s performance, influencing both current and energy production. While traditional methods have provided reaso",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions",
"doi": "10.1038/s41598-024-70811-x",
"url": "https://doi.org/10.1038/s41598-024-70811-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Zhang, H.; Wang, X.; Zhang, J.; Ge, Y.; Wang, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Long-term path planning with optimal deployment of a charging station for monitoring photovoltaic solar farms",
"doi": "10.1038/s41598-024-68160-w",
"url": "https://doi.org/10.1038/s41598-024-68160-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Huang, Y.; Chen, Z.; Chu, J.; Wang, H.; Sun, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Enhanced Whale optimization algorithms for parameter identification of solar photovoltaic cell models: a comparative study",
"doi": "10.1038/s41598-024-67600-x",
"url": "https://doi.org/10.1038/s41598-024-67600-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Yang, S.; Xiong, G.; Fu, X.; Mirjalili, S.; Mohamed, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Achieving bifacial photovoltaic performance in PTB7-based organic solar cell by integrating transparent contact for emerging semi-transparent applications",
"doi": "10.1038/s41598-024-76366-1",
"url": "https://doi.org/10.1038/s41598-024-76366-1",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Çokduygulular, E.; Çetinkaya, Ç.; Emik, S.; Kınacı, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Energy efficient and sustainable design of a multi-story building based on embodied energy and cost",
"doi": "10.1038/s41598-024-66769-5",
"url": "https://doi.org/10.1038/s41598-024-66769-5",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Qing, Z.; Li Na, Z.",
"abstract": "AbstractSustainable multi-story building designs are gaining increasing attention in light of the green development of the building industry. Recently, many studies have been conducted to determine the optimized embodied energy considering size of structural members and materials strength using a single objective function. In this context, the current study adopted a multi-objective function based on cost and Embodied Energy (EE) for the sustainable design of the entire multi-story building. A B",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An improved transient search optimization algorithm for building energy optimization and hybrid energy sizing applications",
"doi": "10.1038/s41598-024-68239-4",
"url": "https://doi.org/10.1038/s41598-024-68239-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Jearsiripongkul, T.; Karbasforoushha, M.; Khajehzadeh, M.; Keawsawasvong, S.; Thongchom, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimization of building integrated energy scheduling using an improved genetic whale algorithm",
"doi": "10.1038/s41598-024-52995-4",
"url": "https://doi.org/10.1038/s41598-024-52995-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wei, L.; An, G.",
"abstract": "AbstractRenewable energy generation has become the general trend with increasing environmental problems. However, the instability of renewable energy generation and the diversification of user demand are highlighted and the optimization of energy scheduling has become the key to solve the problem. This study introduces an energy scheduling optimization model tailored for building integrated energy systems, encompassing elements like gas turbines, wind and solar modules, ground source heat pumps,",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Comparative analysis of direct coupling and MPPT control in standalone PV systems for solar energy optimization to meet sustainable building energy demands",
"doi": "10.1038/s41598-024-72606-6",
"url": "https://doi.org/10.1038/s41598-024-72606-6",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Nataraj, C.; Karthikeyan, G.; Bharathi, G.; Duraikannan, S.",
"abstract": "Abstract\n Solar energy, a prominent renewable source, has reached an installed capacity of 71.78 GW in India. This research explored the load demands of the computer center at an engineering college in Tanjore, Tamil Nadu, India. The computer center at the engineering college has an annual energy requirement of 260,552 kWh/Year. Consequently, the research focused on the planning and implementation of a standalone photovoltaic (SAPV) system, assessing it against the institution's",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Multiple objective energy optimization of a trade center building based on genetic algorithm using ecological materials",
"doi": "10.1038/s41598-024-58515-8",
"url": "https://doi.org/10.1038/s41598-024-58515-8",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Kabiri, E.; Maftouni, N.",
"abstract": "AbstractIt is crucial to optimize energy consumption in buildings while considering thermal comfort. The first step here involved an EnergyPlus simulation on a trade center building located in Tehran, Bandar Abbas, and Tabriz, Iran. A multi-objective optimization was then performed based on non-dominated sorting genetic algorithm II (NSGA-II) in jEPlus + EA to establish the building in the selected city where would benefit the most from implementing the radiant ceiling cooling system. Efforts we",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Urban 3D building morphology and energy consumption: empirical evidence from 53 cities in China",
"doi": "10.1038/s41598-024-63698-1",
"url": "https://doi.org/10.1038/s41598-024-63698-1",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wang, Y.; Sun, G.; Wu, Y.; Rosenberg, M.",
"abstract": "AbstractThe impact of building morphology on building energy consumption has been extensively studied. However, research on how 3D building morphology affects energy consumption at a macroscopic scale is lacking. In this study, we measured the mean building height (BH), mean building volume (BV), and mean European nearest neighbor distance (MENN) of the city to quantify the 3D building morphology. We then used a spatial regression model to analyze the quantitative impact of urban 3D building mor",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Theoretical study of the synergic relationships between the design parameters in energy-saving building design",
"doi": "10.1038/s41598-024-53735-4",
"url": "https://doi.org/10.1038/s41598-024-53735-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Huo, H.; Ji, Y.; Qin, Y.; Chen, C.; Yuan, T.",
"abstract": "AbstractWith the rapid development of the economy, people have increasingly higher requirements for the comfort of living spaces, and the result is the sharp increase in building energy consumption. Several design parameters influence living space comfort and building energy efficiency. Since the same design standard can include different design parameter combinations, synergic relationships may exist between these criteria for one case. Identifying these synergic relationships requires an inver",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Active learning-based machine learning approach for enhancing environmental sustainability in green building energy consumption",
"doi": "10.1038/s41598-024-70729-4",
"url": "https://doi.org/10.1038/s41598-024-70729-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Mahmood, S.; Sun, H.; Ali Alhussan, A.; Iqbal, A.; El-kenawy, E.",
"abstract": "AbstractGreen building (GB) techniques are essential for reducing energy waste in the construction sector, which accounts for almost 40% of global energy consumption. Despite their importance, challenges such as occupant behavior and energy management gaps often result in GBs consuming up to 2.5 times more energy than intended. To address this, Building Automation Systems (BAS) play a crucial role in enhancing energy efficiency. This research develops a predictive model for GB design using machi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Developing the hybrid BIM-BEM and jellyfish search optimization system for optimizing energy consumption and building installation costs",
"doi": "10.1038/s41598-024-68021-6",
"url": "https://doi.org/10.1038/s41598-024-68021-6",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Luong, D.; Truong, N.; Ngo, N.; Nguyen, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Urban Water-Energy consumption Prediction Influenced by Climate Change utilizing an innovative deep learning method",
"doi": "10.1038/s41598-024-81836-7",
"url": "https://doi.org/10.1038/s41598-024-81836-7",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wang, D.; Zhang, Y.; Yousefi, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Robust load-frequency control of islanded urban microgrid using 1PD-3DOF-PID controller including mobile EV energy storage",
"doi": "10.1038/s41598-024-64794-y",
"url": "https://doi.org/10.1038/s41598-024-64794-y",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Davoudkhani, I.; Zare, P.; Abdelaziz, A.; Bajaj, M.; Tuka, M.",
"abstract": "AbstractElectricity generation in Islanded Urban Microgrids (IUMG) now relies heavily on a diverse range of Renewable Energy Sources (RES). However, the dependable utilization of these sources hinges upon efficient Electrical Energy Storage Systems (EESs). As the intermittent nature of RES output and the low inertia of IUMGs often lead to significant frequency fluctuations, the role of EESs becomes pivotal. While these storage systems effectively mitigate frequency deviations, their high costs a",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Determinants of household adoption of clean energy with its rural–urban disparities in Bangladesh",
"doi": "10.1038/s41598-024-52798-7",
"url": "https://doi.org/10.1038/s41598-024-52798-7",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Haq, I.; Khan, M.; Chakma, S.; Hossain, M.; Sarkar, S.",
"abstract": "AbstractThis study aims to investigate factors influencing the adoption of clean energy among households in Bangladesh, using Blinder-Oaxaca decomposition and extended probit regression model with data from the 2019 Bangladesh multiple indicator cluster survey. Small households, primarily Muslim and urban dwellers, who speak the Bengali language and are Internet and mobile users, were likelier to adopt cleaner fuels than their counterparts. On the contrary, households residing in the Barisal, Kh",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The impact of the European Union emissions trading system on carbon dioxide emissions: a matrix completion analysis",
"doi": "10.1038/s41598-024-70260-6",
"url": "https://doi.org/10.1038/s41598-024-70260-6",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Biancalani, F.; Gnecco, G.; Metulini, R.; Riccaboni, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Research on coupling optimization of carbon emissions and carbon leakage in international construction projects",
"doi": "10.1038/s41598-024-59531-4",
"url": "https://doi.org/10.1038/s41598-024-59531-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Zhou, Z.; Wang, Y.; Alcalá, J.; Yepes, V.",
"abstract": "AbstractDue to the rapid economic development of globalization and the intensification of economic and trade exchanges, cross-international and regional carbon emissions have become increasingly severe. Governments worldwide establish laws and regulations to protect their countries' environmental impact. Therefore, selecting robustness evaluation models and metrics is an urgent research topic. This article proves the reliability and scientific of the assessment data through literature coupling e",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Studying tourism development and its impact on carbon emissions",
"doi": "10.1038/s41598-024-58262-w",
"url": "https://doi.org/10.1038/s41598-024-58262-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Zhao, X.; Li, T.; Duan, X.",
"abstract": "AbstractAnalyzing the influence of tourism on carbon emission has significant implications for promoting the sustainable development of tourism. Based on the panel data of 31 tourist cities in China from 2005 to 2022, this study utilizes a structural equation model to explore the carbon reduction effect of tourism development and its influencing mechanism. The results show that: (1) The overall carbon emission efficiency of tourism cities first decreased and then increased, rised to a peak of 0.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impact of computing infrastructure on carbon emissions in China",
"doi": "10.1038/s41598-024-81677-4",
"url": "https://doi.org/10.1038/s41598-024-81677-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Mao, F.; Wei, Y.; Wang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The trajectory of carbon emissions and terrestrial carbon sinks at the provincial level in China",
"doi": "10.1038/s41598-024-55868-y",
"url": "https://doi.org/10.1038/s41598-024-55868-y",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Hu, Y.; Li, Y.; Zhang, H.; Liu, X.; Zheng, Y.",
"abstract": "Abstract\n \n Global greenhouse gas emission, major factor driving climate change, has been increasing since nineteenth century. STIRPAT and CEVSA models were performed to estimate the carbon emission peaks and terrestrial ecosystem carbon sinks at the provincial level in China, respectively. Utilizing the growth characteristics and the peak time criteria for the period 1997–2019, the patterns of energy consumption and CO\n 2\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Digital inclusive finance, green technological innovation, and carbon emissions from a spatial perspective",
"doi": "10.1038/s41598-024-59081-9",
"url": "https://doi.org/10.1038/s41598-024-59081-9",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Lu, Y.; Xia, Z.",
"abstract": "AbstractBased on the panel data of 276 prefecture-level cities in China from 2011 to 2020, this study explores the impact of digital inclusive finance (DIF) on carbon emissions and the intrinsic mechanism of green technological innovation from a spatial perspective by constructing a spatial econometric model, a mediating effect model, and a threshold model. The results show that DIF significantly inhibits carbon emissions, exhibiting a spatial spillover effect. The transmission mechanism from a ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Determinants and their spatial heterogeneity of carbon emissions in resource-based cities, China",
"doi": "10.1038/s41598-024-56434-2",
"url": "https://doi.org/10.1038/s41598-024-56434-2",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Guo, C.; Yu, J.",
"abstract": "AbstractGlobal climate change associated with increased carbon emissions has become a global concern. Resource-based cities, by estimations, have emerged as major contributors to carbon emissions, accounting for approximately one-third of the national total. This underscores their pivotal role in the pursuit of carbon neutrality goals. Despite this, resource-based cities have long been neglected in current climate change mitigation policy discussions. Accordingly, using exploratory spatial data ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Digital economy, technological progress, and carbon emissions in Chinese provinces",
"doi": "10.1038/s41598-024-74573-4",
"url": "https://doi.org/10.1038/s41598-024-74573-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Shen, Y.; Wang, G.; Wu, X.; Shen, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Correlation analysis between resilience and carbon emissions of resource-based cities based on scenario simulation against the dual carbon background",
"doi": "10.1038/s41598-024-80416-z",
"url": "https://doi.org/10.1038/s41598-024-80416-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Fan, X.; Liu, B.; Yang, X.; Wang, K.; Wu, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reshaping the energy landscape of Crete through renewable energy valleys",
"doi": "10.1038/s41598-024-57471-7",
"url": "https://doi.org/10.1038/s41598-024-57471-7",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Skaloumpakas, P.; Sarmas, E.; Rachmanidis, M.; Marinakis, V.",
"abstract": "AbstractRenewable energy valleys (REVs) represent a transformative concept poised to reshape global energy landscapes. These comprehensive ecosystems transition regions from conventional energy sources to sustainable, self-reliant hubs for renewable energy generation, distribution, and consumption. At their core, REVs integrate advanced information and communication technology (ICT), interoperable digital solutions, social innovation processes, and economically viable business models. They offer",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessing the impact of renewable energy integration on energy efficiency within the China-Pakistan economic corridor (CPEC)",
"doi": "10.1038/s41598-024-81173-9",
"url": "https://doi.org/10.1038/s41598-024-81173-9",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Bensadi, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhancing environmental quality and economic growth through potential effects of energy efficiency and renewable energy in Asian economies",
"doi": "10.1038/s41598-024-73679-z",
"url": "https://doi.org/10.1038/s41598-024-73679-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Ahmed, E.; Elfaki, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A rule-based energy management system for hybrid renewable energy sources with battery bank optimized by genetic algorithm optimization",
"doi": "10.1038/s41598-024-54333-0",
"url": "https://doi.org/10.1038/s41598-024-54333-0",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Jamal, S.; Pasupuleti, J.; Ekanayake, J.",
"abstract": "AbstractA Nanogrid (NG) model is described as a power distribution system that integrates Hybrid Renewable Energy Sources (HRESs) and Energy Storage Systems (ESSs) into the primary grid. However, this process is affected by several factors, like load variability, market pricing, and the intermittent nature of Wind Turbines (WTs) and Photovoltaic (PV) systems. Hence, other researchers in the past have used a few optimization-based processes to improve the development of Energy Management Systems ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A novel advanced hybrid fuzzy MPPT controllers for renewable energy systems",
"doi": "10.1038/s41598-024-72060-4",
"url": "https://doi.org/10.1038/s41598-024-72060-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Rafi Kiran, S.; Alsaif, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Forecasting for electricity demand utilizing enhanced inception-V4 using improved Osprey optimization",
"doi": "10.1038/s41598-024-81487-8",
"url": "https://doi.org/10.1038/s41598-024-81487-8",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Chen, S.; Fang, X.; Khayatnezhad, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimization clearing strategy for multi-region electricity-heat market considering shared energy storage and integrated demand response",
"doi": "10.1038/s41598-024-72397-w",
"url": "https://doi.org/10.1038/s41598-024-72397-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Chen, S.; Ye, Z.; Meng, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Deep learning-based forecasting of electricity consumption",
"doi": "10.1038/s41598-024-56602-4",
"url": "https://doi.org/10.1038/s41598-024-56602-4",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Qureshi, M.; Arbab, M.; Rehman, S.",
"abstract": "AbstractBuilding energy management systems (BEMS) are integrated computerized systems that track and manage the energy use of many pieces of building-related machinery and equipment, including lighting, power systems, and HVAC systems. Modern buildings must have BEMSs in order to reduce energy usage while maintaining comfort. Not only for energy-saving purposes, BEMS is essential in enhancing the quality of the energy supply, which helps to gain a better understanding of how energy is used and t",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Smart Home & EMS",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Estimating the energy consumption for residential buildings in semiarid and arid desert climate using artificial intelligence",
"doi": "10.1038/s41598-024-63843-w",
"url": "https://doi.org/10.1038/s41598-024-63843-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wefki, H.; Khallaf, R.; Ebid, A.",
"abstract": "AbstractThis research aims to develop predictive models to estimate building energy accurately. Three commonly used artificial intelligence techniques were chosen to develop a new building energy estimation model. The chosen techniques are Genetic Programming (GP), Artificial Neural Network (ANN), and Evolutionary Polynomial Regression (EPR). Sixteen energy efficiency measures were collected and used in designing and evaluating the proposed models, which include building dimensions, orientation,",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Limited increases in Arctic offshore oil and gas production with climate change and the implications for energy markets",
"doi": "10.1038/s41598-024-54007-x",
"url": "https://doi.org/10.1038/s41598-024-54007-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Zhang, Y.; Msangi, S.; Edmonds, J.; Waldhoff, S.",
"abstract": "AbstractClimate change impacts on sea ice thickness is opening access to offshore Arctic resources. The degree to which these resources are exploited will depend on sea-ice conditions, technology costs, international energy markets, and the regulatory environment. We use an integrated human-Earth system model, GCAM, to explore the effects of spatial–temporal patterns of sea-ice loss under climate change on future Arctic offshore oil and gas extraction, considering interactions with global energy",
"data_url": "",
"source": "CrossRef",
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{
"title": "Nanotechnology for thermal comfort and energy efficiency in educational buildings with a simulation and measurement approach in BSh climate",
"doi": "10.1038/s41598-024-72853-7",
"url": "https://doi.org/10.1038/s41598-024-72853-7",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Soleymani, M.; Amrollahi, R.; Taghdir, S.; Barzegar, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Deep learning-driven hybrid model for short-term load forecasting and smart grid information management",
"doi": "10.1038/s41598-024-63262-x",
"url": "https://doi.org/10.1038/s41598-024-63262-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wen, X.; Liao, J.; Niu, Q.; Shen, N.; Bao, Y.",
"abstract": "AbstractAccurate power load forecasting is crucial for the sustainable operation of smart grids. However, the complexity and uncertainty of load, along with the large-scale and high-dimensional energy information, present challenges in handling intricate dynamic features and long-term dependencies. This paper proposes a computational approach to address these challenges in short-term power load forecasting and energy information management, with the goal of accurately predicting future load dema",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Construction of power network security risk assessment model based on LSA-SVM algorithm in the background of smart grid",
"doi": "10.1038/s41598-024-59473-x",
"url": "https://doi.org/10.1038/s41598-024-59473-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Qi, H.; Zhu, W.; Ye, M.; Hu, Y.; Wang, Y.",
"abstract": "AbstractDue to theintricate and interdependent nature of the smart grid, it has encountered an increasing number of security threats in recent years. Currently, conventional security measures such as firewalls, intrusion detection, and malicious detection technologies offer specific protection based on their unique perspectives. However, as the types and concealment of attacksincrease, these measures struggle to detect them promptly and respond accordingly. In order to meet the social demand for",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Machine learning optimization for hybrid electric vehicle charging in renewable microgrids",
"doi": "10.1038/s41598-024-63775-5",
"url": "https://doi.org/10.1038/s41598-024-63775-5",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Hassan, M.",
"abstract": "AbstractRenewable microgrids enhance security, reliability, and power quality in power systems by integrating solar and wind sources, reducing greenhouse gas emissions. This paper proposes a machine learning approach, leveraging Gaussian Process (GP) and Krill Herd Algorithm (KHA), for energy management in renewable microgrids with a reconfigurable structure based on remote switching of tie and sectionalizing. The method utilizes Gaussian Process (GP) for modeling hybrid electric vehicle (HEV) c",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Electric vehicle path optimization research based on charging and switching methods under V2G",
"doi": "10.1038/s41598-024-81449-0",
"url": "https://doi.org/10.1038/s41598-024-81449-0",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Liu, H.; Zhang, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Managing grid impacts from increased electric vehicle adoption in African cities",
"doi": "10.1038/s41598-024-75039-3",
"url": "https://doi.org/10.1038/s41598-024-75039-3",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Lukuyu, J.; Shirley, R.; Taneja, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A high-fidelity lithium-ion battery emulator for electric vehicle application",
"doi": "10.1038/s41598-024-70445-z",
"url": "https://doi.org/10.1038/s41598-024-70445-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Fan, B.; Zhang, B.; Shi, Y.; Chang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Power consumption prediction for electric vehicle charging stations and forecasting income",
"doi": "10.1038/s41598-024-56507-2",
"url": "https://doi.org/10.1038/s41598-024-56507-2",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Akshay, K.; Grace, G.; Gunasekaran, K.; Samikannu, R.",
"abstract": "AbstractElectric vehicles (EVs) are the future of the automobile industry, as they produce zero emissions and address environmental and health concerns caused by traditional fuel-poared vehicles. As more people shift towards EVs, the demand for power consumption forecasting is increasing to manage the charging stations effectively. Predicting power consumption can help optimize operations, prevent grid overloading, and power outages, and assist companies in estimating the number of charging stat",
"data_url": "",
"source": "CrossRef",
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"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Research on the interaction between energy consumption and power battery life during electric vehicle acceleration",
"doi": "10.1038/s41598-023-50419-3",
"url": "https://doi.org/10.1038/s41598-023-50419-3",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Liu, Q.; Zhang, Z.; Zhang, J.",
"abstract": "AbstractMost studies on the acceleration process of electric vehicle focus on reducing energy consumption, but do not consider the impact of the power battery discharge current and its change rate on the battery life. Therefore, this paper studied the interaction between electric vehicle energy consumption and power battery capacity attenuation during acceleration. First, a power battery life model for electric vehicle under driving conditions is established, and the percentage of battery capaci",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Wind energy resource assessment and wind turbine selection analysis for sustainable energy production",
"doi": "10.1038/s41598-024-61350-6",
"url": "https://doi.org/10.1038/s41598-024-61350-6",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Spiru, P.; Simona, P.",
"abstract": "AbstractThe objective of this study is to perform an analysis to determine the most suitable type of wind turbine that can be installed at a specific location for electricity generation, using annual measurements of wind characteristics and meteorological parameters. Wind potential analysis has shown that the analyzed location is suitable for the development of a wind farm. The analysis was carried out for six different types of wind turbines, with a power ranging from 1.5 to 3.0 MW and a hub he",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Innovation in clean energy from man-made wind and small-wind generation",
"doi": "10.1038/s41598-024-74141-w",
"url": "https://doi.org/10.1038/s41598-024-74141-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Gil-García, I.; Fernández-Guillamón, A.; Montes-Torres, Á.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dynamic performance of rotor-side nonlinear control technique for doubly-fed multi-rotor wind energy based on improved super-twisting algorithms under variable wind speed",
"doi": "10.1038/s41598-024-55271-7",
"url": "https://doi.org/10.1038/s41598-024-55271-7",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Benbouhenni, H.; Yessef, M.; Colak, I.; Bizon, N.; Kotb, H.",
"abstract": "AbstractThe paper proposes a nonlinear controller called dual super-twisting sliding mode command (DSTSMC) for controlling and regulating the rotor side converter (RSC) of multi-rotor wind power systems that use doubly-fed induction generators. It was proposed that this controller be developed as an alternative to the direct power control (DPC), which makes use of a pulse width modulation (PWM) strategy to regulate the RSC's functioning. Overcoming the power/current quality issue with the propos",
"data_url": "",
"source": "CrossRef",
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"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Continuous input current buck DC/DC converter for small-size wind energy systems featuring current sensorless MPPT control",
"doi": "10.1038/s41598-023-50692-2",
"url": "https://doi.org/10.1038/s41598-023-50692-2",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Zakzouk, N.",
"abstract": "AbstractFor decentralized electrification in remote areas, small-sized wind energy systems (WESs) are considered sustainable and affordable solution when employing an efficient, small-sized component converter integrated with a less-sophisticated, cost-effective MPPT controller. Unfortunately, using a conventional buck DC/DC converter as a MPP tracker suffer from input current discontinuity. The latter results in high ripples in the tracked rectified wind power which reduces the captured power a",
"data_url": "",
"source": "CrossRef",
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"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Modelling the wind potential energy for metallurgical sector in Albania",
"doi": "10.1038/s41598-024-51841-x",
"url": "https://doi.org/10.1038/s41598-024-51841-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Dhoska, K.; Bebi, E.; Markja, I.; Milo, P.; Sita, E.",
"abstract": "AbstractThe metallurgical industry, in the context of the global energy crisis and the new European green deal, needs urgent investments on energy and resource efficiency. The metallurgical sector, which includes the production of different metals is an energy-intensive industry that requires large amounts of energy for various processes such as smelting, refining, and casting. One of the largest consumptions of energy in Albania comes from the metallurgical sector during the production of iron,",
"data_url": "",
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"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Publisher Correction: Modelling the wind potential energy for metallurgical sector in Albania",
"doi": "10.1038/s41598-024-55388-9",
"url": "https://doi.org/10.1038/s41598-024-55388-9",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Dhoska, K.; Bebi, E.; Markja, I.; Milo, P.; Sita, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Effective dynamic energy management algorithm for grid-interactive microgrid with hybrid energy storage system",
"doi": "10.1038/s41598-024-70599-w",
"url": "https://doi.org/10.1038/s41598-024-70599-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Kamagaté, Y.; Shah, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Optimal scheduling model using the IGDT method for park integrated energy systems considering P2G–CCS and cloud energy storage",
"doi": "10.1038/s41598-024-68292-z",
"url": "https://doi.org/10.1038/s41598-024-68292-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wang, L.; Cheng, J.; Luo, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Digital finance reduces urban carbon footprint pressure in 277 Chinese cities",
"doi": "10.1038/s41598-024-67315-z",
"url": "https://doi.org/10.1038/s41598-024-67315-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Dong, Z.; Yao, S.",
"abstract": "AbstractAs global warming's impact on humanity surpasses initial predictions, numerous countries confront heightened risks associated with escalating urban carbon footprints. Concurrently, digital finance has flourished, propelled by advancements in digital technology. This convergence underscores the urgency of exploring digital finance's role in mitigating urban carbon footprint pressures. This study analyzes data spanning 277 Chinese cities from 2011 to 2020, yielding several key findings: Fi",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Urban Carbon Footprint",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Integrated nutrient management on oat + grasspea intercropping system: an evaluation of system productivity, economics, energetics and carbon footprint",
"doi": "10.1038/s41598-024-66107-9",
"url": "https://doi.org/10.1038/s41598-024-66107-9",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Biswas, S.; Das, R.; Jana, K.; Puste, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Publisher Correction: Long‑term application of agronomic management strategies effects on soil organic carbon, energy budgeting, and carbon footprint under rice–wheat cropping system",
"doi": "10.1038/s41598-024-56776-x",
"url": "https://doi.org/10.1038/s41598-024-56776-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Naresh, R.; Singh, P.; Bhatt, R.; Chandra, M.; Kumar, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Long-term application of agronomic management strategies effects on soil organic carbon, energy budgeting, and carbon footprint under rice–wheat cropping system",
"doi": "10.1038/s41598-023-48785-z",
"url": "https://doi.org/10.1038/s41598-023-48785-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Naresh, R.; Singh, P.; Bhatt, R.; Chandra, M.; Kumar, Y.",
"abstract": "AbstractIn the plains of western North India, traditional rice and wheat cropping systems (RWCS) consume a significant amount of energy and carbon. In order to assess the long-term energy budgets, ecological footprint, and greenhouse gas (GHG) pollutants from RWCS with residual management techniques, field research was conducted which consisted of fourteen treatments that combined various tillage techniques, fertilization methods, and whether or not straw return was present in randomized block d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Research and analysis of energy consumption and energy saving in buildings based on photovoltaic photothermal integration",
"doi": "10.1038/s41598-024-51209-1",
"url": "https://doi.org/10.1038/s41598-024-51209-1",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Cui, Y.; Zhang, X.",
"abstract": "AbstractIn order to reduce the energy consumption of buildings, an air source heat pump assisted rooftop photovoltaic-thermal integration system is designed. The installation area of photovoltaic modules and collectors will not only affect the power side, but also affect the thermal side. Therefore, the basic architecture of the photovoltaic photothermal integration system is first established, and then the improved whale algorithm is used to optimize the photovoltaic photothermal integration sy",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module",
"doi": "10.1038/s41598-024-72103-w",
"url": "https://doi.org/10.1038/s41598-024-72103-w",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Liu, F.; Huang, Y.; Wang, Y.; Xia, E.; Qureshi, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Blockchain-based energy consumption approaches in IoT",
"doi": "10.1038/s41598-024-77792-x",
"url": "https://doi.org/10.1038/s41598-024-77792-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Habibullah, S.; Alam, S.; Ghosh, S.; Dey, A.; De, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Evolution and driving factors of inequality in CO2 emissions from agricultural energy consumption in China",
"doi": "10.1038/s41598-024-63977-x",
"url": "https://doi.org/10.1038/s41598-024-63977-x",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Zhao, X.; Li, X.; Xi, Y.",
"abstract": "AbstractThe inequality in CO2 emissions from agricultural energy consumption is a major challenge for coordinating low-carbon agricultural development across regions in China. However, the evolutionary characteristics and driving factors of inequality in China’s agricultural energy-related CO2 emissions are poorly understood. In response, the Kaya–Theil model was adopted to examine the three potential factors influencing CO2 emission inequality in China’s agricultural energy consumption. The res",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Efficient energy consumption in hybrid cloud environment using adaptive backtracking virtual machine consolidation",
"doi": "10.1038/s41598-024-72459-z",
"url": "https://doi.org/10.1038/s41598-024-72459-z",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Manikandan, S.; Elakiya, E.; Rajheshwari, K.; Sivakumar, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimization scheduling of microgrid comprehensive demand response load considering user satisfaction",
"doi": "10.1038/s41598-024-66492-1",
"url": "https://doi.org/10.1038/s41598-024-66492-1",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Wang, C.; Li, X.",
"abstract": "AbstractThe original load control model of microgrid based on demand response lacks the factors of incentive demand response, the overall satisfaction of users is low, the degree of demand response is low, the Time Of Use (TOU) price of peak-valley filling capacity is weak, and the peak-valley difference of load curve is large. Regarding the limitations of the current microgrid demand response model, this study further optimizes the flexible load control strategy and proposes a two-objective opt",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "A Multi-Layer Techno-Economic-Environmental Energy Management Optimization in Cooperative Multi-Microgrids with Demand Response Program and Uncertainties Consideration",
"doi": "10.1038/s41598-024-72706-3",
"url": "https://doi.org/10.1038/s41598-024-72706-3",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Alamir, N.; Kamel, S.; Megahed, T.; Hori, M.; Abdelkader, S.",
"abstract": "AbstractThis paper presents a multi-layer, multi-objective (MLMO) optimization model for techno-economic-environmental energy management in cooperative multi-Microgrids (MMGs) that incorporates a Demand Response Program (DRP). The proposed MLMO approach simultaneously optimizes operating costs, MMG operator benefits, environmental emissions, and MMG dependency. This paper proposed a new hybrid ε-lexicography–weighted-sum that eliminates the need to normalize or scalarize objectives. The first la",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework",
"doi": "10.1038/s41598-024-82257-2",
"url": "https://doi.org/10.1038/s41598-024-82257-2",
"journal": "Scientific Reports",
"year": 2024,
"authors": "Singh, A.; Kumar, R.; Madhavi, K.; Alsaif, F.; Bajaj, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Salinity gradient energy is not a competitive source of renewable energy",
"doi": "10.1016/j.joule.2023.12.015",
"url": "https://doi.org/10.1016/j.joule.2023.12.015",
"journal": "Joule",
"year": 2024,
"authors": "Lin, S.; Wang, Z.; Wang, L.; Elimelech, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Anthracene-based energy storage",
"doi": "10.1016/j.joule.2024.10.015",
"url": "https://doi.org/10.1016/j.joule.2024.10.015",
"journal": "Joule",
"year": 2024,
"authors": "Shustova, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Hybrid solar energy device for simultaneous electric power generation and molecular solar thermal energy storage",
"doi": "10.1016/j.joule.2024.06.012",
"url": "https://doi.org/10.1016/j.joule.2024.06.012",
"journal": "Joule",
"year": 2024,
"authors": "Wang, Z.; Hölzel, H.; Fernandez, L.; Aslam, A.; Baronas, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Recognition and evaluation in voluntary renewable energy markets",
"doi": "10.1016/j.joule.2024.06.011",
"url": "https://doi.org/10.1016/j.joule.2024.06.011",
"journal": "Joule",
"year": 2024,
"authors": "O’Shaughnessy, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Wavelength-selective solar photovoltaic systems to enhance spectral sharing of sunlight in agrivoltaics",
"doi": "10.1016/j.joule.2024.08.006",
"url": "https://doi.org/10.1016/j.joule.2024.08.006",
"journal": "Joule",
"year": 2024,
"authors": "Ma Lu, S.; Amaducci, S.; Gorjian, S.; Haworth, M.; Hägglund, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Photovoltaic-sorbent system for water and electricity generation",
"doi": "10.1016/j.joule.2024.01.006",
"url": "https://doi.org/10.1016/j.joule.2024.01.006",
"journal": "Joule",
"year": 2024,
"authors": "Shao, Z.; Poredoš, P.; Wang, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Cost-efficient recycling of organic photovoltaic devices",
"doi": "10.1016/j.joule.2024.06.006",
"url": "https://doi.org/10.1016/j.joule.2024.06.006",
"journal": "Joule",
"year": 2024,
"authors": "Sun, R.; Yuan, X.; Yang, X.; Wu, Y.; Shao, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
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"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Implications of uncertainty in technology cost projections for least-cost decarbonized electricity systems",
"doi": "10.1016/j.isci.2023.108685",
"url": "https://doi.org/10.1016/j.isci.2023.108685",
"journal": "iScience",
"year": 2024,
"authors": "Duan, L.; Caldeira, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Infrastructure adequacy for electricity trading in East Africa",
"doi": "10.1016/j.isci.2024.109554",
"url": "https://doi.org/10.1016/j.isci.2024.109554",
"journal": "iScience",
"year": 2024,
"authors": "Rubanda, M.; Senyonga, L.; Ngoma, M.; Adaramola, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Implications of electricity and gas price coupling in US New England region",
"doi": "10.1016/j.isci.2023.108726",
"url": "https://doi.org/10.1016/j.isci.2023.108726",
"journal": "iScience",
"year": 2024,
"authors": "Zhang, Q.; Li, F.; Fang, X.; Zhao, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Visions for our future regional electricity system: Citizen preferences in four EU countries",
"doi": "10.1016/j.isci.2024.109269",
"url": "https://doi.org/10.1016/j.isci.2024.109269",
"journal": "iScience",
"year": 2024,
"authors": "Mey, F.; Lilliestam, J.; Wolf, I.; Tröndle, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Batteries or hydrogen or both for grid electricity storage upon full electrification of 145 countries with wind-water-solar?",
"doi": "10.1016/j.isci.2024.108988",
"url": "https://doi.org/10.1016/j.isci.2024.108988",
"journal": "iScience",
"year": 2024,
"authors": "Jacobson, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Optimal scheduling of electricity and hydrogen integrated energy system considering multiple uncertainties",
"doi": "10.1016/j.isci.2024.109654",
"url": "https://doi.org/10.1016/j.isci.2024.109654",
"journal": "iScience",
"year": 2024,
"authors": "Chang, P.; Li, C.; Zhu, Q.; Zhu, T.; Shi, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Wind and solar energy in Small Island Developing States for mitigating global climate change",
"doi": "10.1016/j.isci.2024.111062",
"url": "https://doi.org/10.1016/j.isci.2024.111062",
"journal": "iScience",
"year": 2024,
"authors": "Havea, P.; Su, B.; Liu, C.; Kundzewicz, Z.; Wang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Sustainable bioenergy contributes to cost-effective climate change mitigation in China",
"doi": "10.1016/j.isci.2024.110232",
"url": "https://doi.org/10.1016/j.isci.2024.110232",
"journal": "iScience",
"year": 2024,
"authors": "Xu, Y.; Smith, P.; Qin, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessing levelized cost of electric vehicle recharging in China",
"doi": "10.1016/j.isci.2024.110690",
"url": "https://doi.org/10.1016/j.isci.2024.110690",
"journal": "iScience",
"year": 2024,
"authors": "Tam, C.; Hsieh, I.; Sun, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Unveiling the bidirectional link between electric vehicle sales and charging infrastructure: Evidence from 95 cities in China",
"doi": "10.1016/j.isci.2024.111245",
"url": "https://doi.org/10.1016/j.isci.2024.111245",
"journal": "iScience",
"year": 2024,
"authors": "Guo, J.; Xu, B.; Cao, Q.; Liu, S.; Gu, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Derived energy storage systems from Brayton cycle",
"doi": "10.1016/j.isci.2024.109460",
"url": "https://doi.org/10.1016/j.isci.2024.109460",
"journal": "iScience",
"year": 2024,
"authors": "Guo, H.; Zhang, Y.; Xu, Y.; Zhou, X.; Chen, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The carbon footprint of predicting CO2 storage capacity in metal-organic frameworks within neural networks",
"doi": "10.1016/j.isci.2024.109644",
"url": "https://doi.org/10.1016/j.isci.2024.109644",
"journal": "iScience",
"year": 2024,
"authors": "Korolev, V.; Mitrofanov, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint of piezoelectrics from multi-layer PZT stacks to piezoelectric energy harvesting systems in roads",
"doi": "10.1016/j.isci.2024.110786",
"url": "https://doi.org/10.1016/j.isci.2024.110786",
"journal": "iScience",
"year": 2024,
"authors": "Sharafi, A.; Chen, C.; Sun, J.; Fortier, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Significant carbon isotopic fractionation during early formation of biological soil crusts with indications for dryland carbon cycling",
"doi": "10.1016/j.isci.2024.109114",
"url": "https://doi.org/10.1016/j.isci.2024.109114",
"journal": "iScience",
"year": 2024,
"authors": "Zhang, L.; Zhou, B.; Song, B.; Zhao, C.; Adams, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Blueprinting the ecosystem health index for blue carbon ecotones",
"doi": "10.1016/j.isci.2024.111426",
"url": "https://doi.org/10.1016/j.isci.2024.111426",
"journal": "iScience",
"year": 2024,
"authors": "Zhang, J.; Convertino, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhancing the European power system resilience with a recommendation system for voluntary demand response",
"doi": "10.1016/j.isci.2024.111430",
"url": "https://doi.org/10.1016/j.isci.2024.111430",
"journal": "iScience",
"year": 2024,
"authors": "Silva, C.; Bessa, R.; Andrade, J.; Coelho, F.; Costa, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Changing economics of China’s power system suggest that batteries and renewables may be a lower cost way to meet peak demand growth than coal",
"doi": "10.1016/j.isci.2024.108975",
"url": "https://doi.org/10.1016/j.isci.2024.108975",
"journal": "iScience",
"year": 2024,
"authors": "Kahrl, F.; Lin, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Near-infrared luminescent open-shell π-conjugated systems with a bright lowest-energy zwitterionic singlet excited state",
"doi": "10.1126/sciadv.ado3476",
"url": "https://doi.org/10.1126/sciadv.ado3476",
"journal": "Science Advances",
"year": 2024,
"authors": "Yu, C.; Chowdhury, R.; Fu, Y.; Ghosh, P.; Zeng, W.",
"abstract": "Open-shell systems with extensive π-conjugation have fascinating properties due to their narrow bandgaps and spin interactions. In this work, we report neutral open-shell di- and polyradical conjugated materials exhibiting intriguing optical and magnetic properties. Our key design advance is the planarized geometry allowing for greater interaction between adjacent spins. This results in absorption and emission in the near infrared at 803 and 1050 nanometers, respectively, and we demonstrate a un",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Chemically tuned intermediate band states in atomically thin Cu\n \n x\n \n GeSe/SnS quantum material for photovoltaic applications",
"doi": "10.1126/sciadv.adl6752",
"url": "https://doi.org/10.1126/sciadv.adl6752",
"journal": "Science Advances",
"year": 2024,
"authors": "Kastuar, S.; Ekuma, C.",
"abstract": "A new generation of quantum material derived from intercalating zerovalent atoms such as Cu into the intrinsic van der Waals gap at the interface of atomically thin two-dimensional GeSe/SnS heterostructure is designed, and their optoelectronic features are explored for next-generation photovoltaic applications. Advanced ab initio modeling reveals that many-body effects induce intermediate band (IB) states, with subband gaps (~0.78 and 1.26 electron volts) ideal for next-generation solar devices,",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Persistent urban heat",
"doi": "10.1126/sciadv.adj7398",
"url": "https://doi.org/10.1126/sciadv.adj7398",
"journal": "Science Advances",
"year": 2024,
"authors": "Li, D.; Wang, L.; Liao, W.; Sun, T.; Katul, G.",
"abstract": "Urban surface and near-surface air temperatures are known to be often higher than their rural counterparts, a phenomenon now labeled as the urban heat island effect. However, whether the elevated urban temperatures are more persistent than rural temperatures at timescales commensurate to heat waves has not been addressed despite its importance for human health. Combining numerical simulations by a global climate model with a surface energy balance theory, it is demonstrated here that urban surfa",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Cooling Technologies",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Inland water greenhouse gas emissions offset the terrestrial carbon sink in the northern cryosphere",
"doi": "10.1126/sciadv.adp0024",
"url": "https://doi.org/10.1126/sciadv.adp0024",
"journal": "Science Advances",
"year": 2024,
"authors": "Song, C.; Liu, S.; Wang, G.; Zhang, L.; Rosentreter, J.",
"abstract": "\n Climate-sensitive northern cryosphere inland waters emit greenhouse gases (GHGs) into the atmosphere, yet their total emissions remain poorly constrained. We present a data-driven synthesis of GHG emissions from northern cryosphere inland waters considering water body types, cryosphere zones, and seasonality. We find that annual GHG emissions are dominated by carbon dioxide (\n \n \n \n \n 1149.2\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "PM\n 2.5\n exposure disparities persist despite strict vehicle emissions controls in California",
"doi": "10.1126/sciadv.adn8544",
"url": "https://doi.org/10.1126/sciadv.adn8544",
"journal": "Science Advances",
"year": 2024,
"authors": "Koolik, L.; Alvarado, Á.; Budahn, A.; Plummer, L.; Marshall, J.",
"abstract": "\n As policymakers increasingly focus on environmental justice, a key question is whether emissions reductions aimed at addressing air quality or climate change can also ameliorate persistent air pollution exposure disparities. We examine evidence from California’s aggressive vehicle emissions control policy from 2000 to 2019. We find a 65% reduction in modeled statewide average exposure to PM\n 2.5\n from on-road vehicles, yet for people of ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Potential climate predictability of renewable energy supply and demand for Texas given the ENSO hidden state",
"doi": "10.1126/sciadv.ado3517",
"url": "https://doi.org/10.1126/sciadv.ado3517",
"journal": "Science Advances",
"year": 2024,
"authors": "Zhang, M.; Yan, L.; Amonkar, Y.; Nayak, A.; Lall, U.",
"abstract": "Climate variability influences renewable electricity supply and demand and hence system reliability. Using the hidden states of the sea surface temperature of tropical Pacific Ocean that reflect El Niño–Southern Oscillation (ENSO) dynamics that is objectively identified by a nonhomogeneous hidden Markov model, we provide a first example of the potential predictability of monthly wind and solar energy and heating and cooling energy demand for 1 to 6 months ahead for Texas, United States, a region",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Single ambipolar OECT–based inverter with volatility and nonvolatility on demand",
"doi": "10.1126/sciadv.adq9405",
"url": "https://doi.org/10.1126/sciadv.adq9405",
"journal": "Science Advances",
"year": 2024,
"authors": "Cong, S.; Chen, J.; Xie, M.; Deng, Z.; Chen, C.",
"abstract": "\n Organic electrochemical transistor (OECT)–based inverter introduces new prospects for energy-efficient brain-inspired artificial intelligence devices. Here, we report single-component OECT-based inverters by incorporating ambipolar p(gDPP-V). Notably, p(gDPP-V) shows state-of-the-art ambipolar OECT performances in both conventional (p/n-type mode transconductance of 29/25 S cm\n −1\n ) and vertical (transconductance of 297.2/292.4 μS μm\n −2\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Scalable weaving of resilient membranes with on-demand superwettability for high-performance nanoemulsion separations",
"doi": "10.1126/sciadv.adn3289",
"url": "https://doi.org/10.1126/sciadv.adn3289",
"journal": "Science Advances",
"year": 2024,
"authors": "Wang, Y.; Villalobos, L.; Liang, L.; Zhu, B.; Li, J.",
"abstract": "\n This study leverages the ancient craft of weaving to prepare membranes that can effectively treat oil/water mixtures, specifically challenging nanoemulsions. Drawing inspiration from the core-shell architecture of spider silk, we have engineered fibers, the fundamental building blocks for weaving membranes, that feature a mechanically robust core for tight weaving, coupled with a CO\n 2\n -responsive shell that allows for on-demand wettability adjustments. Tightl",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change",
"doi": "10.1126/sciadv.adn5217",
"url": "https://doi.org/10.1126/sciadv.adn5217",
"journal": "Science Advances",
"year": 2024,
"authors": "Merlis, T.; Cheng, K.; Guendelman, I.; Harris, L.; Bretherton, C.",
"abstract": "The climate simulation frontier of a global storm-resolving model (GSRM; ork-scale model because of its kilometer-scale horizontal resolution) is deployed for climate change simulations. The climate sensitivity, effective radiative forcing, and relative humidity changes are assessed in multiyear atmospheric GSRM simulations with perturbed sea-surface temperatures and/or carbon dioxide concentrations. Our comparisons to conventional climate model results can build confidence in the existing clima",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A reconfigurable integrated smart device for real-time monitoring and synergistic treatment of rheumatoid arthritis",
"doi": "10.1126/sciadv.adj0604",
"url": "https://doi.org/10.1126/sciadv.adj0604",
"journal": "Science Advances",
"year": 2024,
"authors": "Liu, Y.; Xie, W.; Tang, Z.; Tan, Z.; He, Y.",
"abstract": "Rheumatoid arthritis (RA) is a global autoimmune disease that requires long-term management. Ambulatory monitoring and treatment of RA favors remission and rehabilitation. Here, we developed a wearable reconfigurable integrated smart device (ISD) for real-time inflammatory monitoring and synergistic therapy of RA. The device establishes an electrical-coupling and substance delivery interfaces with the skin through template-free conductive polymer microneedles that exhibit high capacitance, low i",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Physics-guided deep learning for skillful wind-wave modeling",
"doi": "10.1126/sciadv.adr3559",
"url": "https://doi.org/10.1126/sciadv.adr3559",
"journal": "Science Advances",
"year": 2024,
"authors": "Wang, X.; Jiang, H.",
"abstract": "Modeling sea surface wind-waves is crucial for both scientific research and engineering applications. Nowadays, the most accurate wave models are based on numerical methods, which primarily concern the wave spectrum evolution by solving wave action balance partial differential equations. These methods are computationally expensive and limited by incomplete physical representations of wave spectral evolution. Here, we present a deep learning–based wave model trained using observation-merged wave ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nonsynchronous rotation of icy moon ice shells: The thermal wind perspective",
"doi": "10.1126/sciadv.adk2277",
"url": "https://doi.org/10.1126/sciadv.adk2277",
"journal": "Science Advances",
"year": 2024,
"authors": "Kang, W.",
"abstract": "The ice shells of icy satellites have been hypothesized to undergo nonsynchronous rotation (NSR) under the influence of tidal torques and/or ocean currents. In this work, the author proposes that the thermal wind relationship can be combined with geostrophic turbulence theory to predict ocean stress onto the ice shell inside the tangent cylinder. High-resolution numerical simulations validate the prediction within a factor of 2. For the prediction to be valid, the rotation effect must dominate (",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Extreme wind events responsible for an outsized role in shelf-basin exchange around the southern tip of Greenland",
"doi": "10.1126/sciadv.adp9266",
"url": "https://doi.org/10.1126/sciadv.adp9266",
"journal": "Science Advances",
"year": 2024,
"authors": "Coquereau, A.; Foukal, N.; Våge, K.",
"abstract": "The coastal circulation around Southern Greenland transports fresh, buoyant water masses from the Arctic and Greenland Ice Sheet near regions of convection, sinking, and deep-water formation in the Irminger and Labrador Seas. Here, we track the pathways and fate of these fresh water masses by initializing synthetic particles in the East Greenland Coastal Current on the Southeast Greenland shelf and running them through altimetry-derived surface currents from 1993 to 2021. We report that the majo",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exceptionally gigantic aurora in the polar cap on a day when the solar wind almost disappeared",
"doi": "10.1126/sciadv.adn5276",
"url": "https://doi.org/10.1126/sciadv.adn5276",
"journal": "Science Advances",
"year": 2024,
"authors": "Hosokawa, K.; Kataoka, R.; Tsuda, T.; Ogawa, Y.; Taguchi, S.",
"abstract": "Revealing the origins of aurorae in Earth’s polar cap has long been a challenge since direct precipitation of energetic electrons from the magnetosphere is not always expected in this region of open magnetic field lines. Here, we introduce an exceptionally gigantic aurora filling the entire polar cap region on a day when the solar wind had almost disappeared. By combining ground-based and satellite observations, we proved that this unique aurora was produced by suprathermal electrons streaming d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Fish-inspired dynamic charging for ultrafast self-protective solar-thermal energy storage",
"doi": "10.1126/sciadv.adr8445",
"url": "https://doi.org/10.1126/sciadv.adr8445",
"journal": "Science Advances",
"year": 2024,
"authors": "Li, X.; Zhang, J.; Liu, Y.; Xu, Y.; Xie, Y.",
"abstract": "\n Solar-thermal energy storage (STES) within solid-liquid phase change materials (PCMs) has emerged as an attractive solution to overcome intermittency of renewable energy. However, current storage systems usually suffer from slow charging rates, sacrificed storage capacity, and overheating tendency. Inspired by the thermoregulation behavior of\n Cyprinid\n fish, here, we present a quick-responsive, ultrafast, large-capacity, overheating-protective STES strategy. W",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Building Energy Materials",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A synchronous-twisting method to realize radial scalability in fibrous energy storage devices",
"doi": "10.1126/sciadv.ado7826",
"url": "https://doi.org/10.1126/sciadv.ado7826",
"journal": "Science Advances",
"year": 2024,
"authors": "Zhou, Z.; Xie, S.; Cai, H.; Colli, A.; Monnens, W.",
"abstract": "\n For wearable electronics, radial scalability is one of the key research areas for fibrous energy storage devices to be commercialized, but this field has been shelved for years due to the lack of effective methods and configuration arrangements. Here, the team presents a generalizable strategy to realize radial scalability by applying a synchronous-twisting method (STM) for synthesizing a coaxial-extensible configuration (CEC). As examples, aqueous fiber-shaped Zn-MnO\n 2\n",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Precision and bias of carbon storage estimations in wetland and mangrove sediments",
"doi": "10.1126/sciadv.adl1079",
"url": "https://doi.org/10.1126/sciadv.adl1079",
"journal": "Science Advances",
"year": 2024,
"authors": "Ezcurra, E.",
"abstract": "Peaty sediments in coastal wetlands play an important role in the sequestration of atmospheric carbon dioxide and its belowground storage. Sediment cores are used to quantify organic matter (OM) density, estimated by multiplying the bulk density of a core segment by its OM fraction. This method can be imprecise, as repeated samples often differ widely. Recent studies have shown that sediment bulk density and OM fraction are not independent but tightly related by a function called the ideal-mixin",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CO\n 2\n capture, geological storage, and mineralization using biobased biodegradable chelating agents and seawater",
"doi": "10.1126/sciadv.adq0515",
"url": "https://doi.org/10.1126/sciadv.adq0515",
"journal": "Science Advances",
"year": 2024,
"authors": "Wang, J.; Sekiai, R.; Tamura, R.; Watanabe, N.",
"abstract": "\n Geological storage and mineralization of CO\n 2\n in mafic/ultramafic reservoirs faces challenges including limited effective porosity, permeability, and rock reactivity; difficulties in using seawater for CO\n 2\n capture; and uncontrolled carbonation. This study introduces a CO\n 2\n capture, storage, and mineralization approach with the utilization of biobased biodegradable chelating agents and seawater. An acidic chelat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Highly oxidized intraplate basalts and deep carbon storage",
"doi": "10.1126/sciadv.adm8138",
"url": "https://doi.org/10.1126/sciadv.adm8138",
"journal": "Science Advances",
"year": 2024,
"authors": "Dong, X.; Wang, S.; Wang, W.; Huang, S.; Li, Q.",
"abstract": "\n Deep carbon cycle is crucial for mantle dynamics and maintaining Earth’s habitability. Recycled carbonates are a strong oxidant in mantle carbon-iron redox reactions, leading to the formation of highly oxidized mantle domains and deep carbon storage. Here we report high Fe\n 3+\n /∑Fe values in Cenozoic intraplate basalts from eastern China, which are correlated with geochemical and isotopic compositions that point to a common role of carbonated melt with recycle",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Bichloride-based ionic liquids for the merged storage, processing, and electrolysis of hydrogen chloride",
"doi": "10.1126/sciadv.adn5353",
"url": "https://doi.org/10.1126/sciadv.adn5353",
"journal": "Science Advances",
"year": 2024,
"authors": "Dreyhsig, G.; Voßnacker, P.; Kleoff, M.; Baunis, H.; Limberg, N.",
"abstract": "\n Hydrogen chloride is produced as a by-product in industrial processes on a million-ton scale. Since HCl is inherently dangerous, its storage and transport are avoided by, e.g., on-site electrolysis providing H\n 2\n and Cl\n 2\n which usually requires complex cell designs and PFAS-based membranes. Here we report a complementary approach to safely store 0.61 kilogram HCl per kilogram storage material [NEt\n 3\n Me]Cl forming",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Seasonal changes in black carbon footprint on the Antarctic Peninsula due to rising shipborne tourism and forest fires",
"doi": "10.1126/sciadv.adp1682",
"url": "https://doi.org/10.1126/sciadv.adp1682",
"journal": "Science Advances",
"year": 2024,
"authors": "Magalhães, N.; Evangelista, H.; Gonçalves, S.; Alencar, A.; do Santos, E.",
"abstract": "Refractory black carbon (rBC) has great potential to increase melting when deposited on snow and ice surfaces. Previous studies attributed sources and impacts of rBC in the northern Antarctic Peninsula region by investigating long-range atmospheric transport from South Hemisphere biomass burning and industrial regions or by assessing impacts from local tourism and research activities. We used high-resolution measurements of refractory rBC in a firn core collected near the northern tip of the Ant",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Closing the inland water carbon cycle",
"doi": "10.1126/sciadv.adt3893",
"url": "https://doi.org/10.1126/sciadv.adt3893",
"journal": "Science Advances",
"year": 2024,
"authors": "Middelburg, J.",
"abstract": "Inland water carbon dioxide emissions mirror the ocean’s carbon uptake and are driven not only by ecosystem heterotrophy but also by chemical equilibration and calcification.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Olivine alteration and the loss of Mars’ early atmospheric carbon",
"doi": "10.1126/sciadv.adm8443",
"url": "https://doi.org/10.1126/sciadv.adm8443",
"journal": "Science Advances",
"year": 2024,
"authors": "Murray, J.; Jagoutz, O.",
"abstract": "\n The early Martian atmosphere had 0.25 to 4 bar of CO\n 2\n but thinned rapidly around 3.5 billion years ago. The fate of that carbon remains poorly constrained. The hydrothermal alteration of ultramafic rocks, rich in Fe(II) and Mg, forms both abiotic methane, serpentine, and high-surface-area smectite clays. Given the abundance of ultramafic rocks and smectite in the Martian upper crust and the growing evidence of organic carbon in Martian sedimentary rocks, we ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System",
"doi": "10.1038/s41597-023-01992-9",
"url": "https://doi.org/10.1038/s41597-023-01992-9",
"journal": "Scientific Data",
"year": 2023,
"authors": "Deng, Y.; Cao, K.; Hu, W.; Stegen, R.; von Krbek, K.",
"abstract": "AbstractImprovements in modelling energy systems of populous emerging economies are highly decisive for a successful global energy transition. The models used–increasingly open source–still need more appropriate open data. As an illustrative example, we take the Brazilian energy system, which has great potential for renewable energy resources but still relies heavily on fossil fuels. We provide a comprehensive open dataset for scenario analyses, which can be directly used with the popular open e",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Points for energy renovation (PointER): A point cloud dataset of a million buildings linked to energy features",
"doi": "10.1038/s41597-023-02544-x",
"url": "https://doi.org/10.1038/s41597-023-02544-x",
"journal": "Scientific Data",
"year": 2023,
"authors": "Krapf, S.; Mayer, K.; Fischer, M.",
"abstract": "AbstractRapid renovation of Europe’s inefficient buildings is required to reduce climate change. However, evaluating buildings at scale is challenging because every building is unique. In current practice, the energy performance of buildings is assessed during on-site visits, which are slow, costly, and local. This paper presents a building point cloud dataset that promotes a data-driven, large-scale understanding of the 3D representation of buildings and their energy characteristics. We generat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata",
"doi": "10.1038/s41597-023-01951-4",
"url": "https://doi.org/10.1038/s41597-023-01951-4",
"journal": "Scientific Data",
"year": 2023,
"authors": "Kasmi, G.; Saint-Drenan, Y.; Trebosc, D.; Jolivet, R.; Leloux, J.",
"abstract": "AbstractPhotovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale, rooftop PV installations are deployed at an unprecedented pace, and their safe integration into the grid requires up-to-date, high-quality information. Overhead imagery is increasingly being used to improve the knowledge of rooftop PV installations with machine learning models capable of automatically mapping these installations. However, these models cannot be reliably transferred from one re",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A solar panel dataset of very high resolution satellite imagery to support the Sustainable Development Goals",
"doi": "10.1038/s41597-023-02539-8",
"url": "https://doi.org/10.1038/s41597-023-02539-8",
"journal": "Scientific Data",
"year": 2023,
"authors": "Clark, C.; Pacifici, F.",
"abstract": "AbstractEffectively supporting the United Nations’ Sustainable Development Goals requires reliable, substantial, and timely data. For solar panel installation monitoring, where accurate reporting is crucial in tracking green energy production and sustainable energy access, official and regulated documentation remains inconsistent. Reports of solar panel installations have been supplemented with object detection models developed and used on openly available aerial imagery, a type of imagery colle",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar active region magnetogram image dataset for studies of space weather",
"doi": "10.1038/s41597-023-02628-8",
"url": "https://doi.org/10.1038/s41597-023-02628-8",
"journal": "Scientific Data",
"year": 2023,
"authors": "Boucheron, L.; Vincent, T.; Grajeda, J.; Wuest, E.",
"abstract": "AbstractIn this dataset we provide a comprehensive collection of line-of-sight (LOS) solar photospheric magnetograms (images quantifying the strength of the photospheric magnetic field) from the National Aeronautics and Space Administration’s (NASA’s) Solar Dynamics Observatory (SDO). The dataset incorporates data from three sources and provides SDO Helioseismic and Magnetic Imager (HMI) magnetograms of solar active regions (regions of large magnetic flux, generally the source of eruptive events",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Georectified polygon database of ground-mounted large-scale solar photovoltaic sites in the United States",
"doi": "10.1038/s41597-023-02644-8",
"url": "https://doi.org/10.1038/s41597-023-02644-8",
"journal": "Scientific Data",
"year": 2023,
"authors": "Fujita, K.; Ancona, Z.; Kramer, L.; Straka, M.; Gautreau, T.",
"abstract": "AbstractOver 4,400 large-scale solar photovoltaic (LSPV) facilities operate in the United States as of December 2021, representing more than 60 gigawatts of electric energy capacity. Of these, over 3,900 are ground-mounted LSPV facilities with capacities of 1 megawatt direct current (MWdc) or more. Ground-mounted LSPV installations continue increasing, with more than 400 projects appearing online in 2021 alone; however, a comprehensive, publicly available georectified dataset including spatial f",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A tiled multi-city urban objects dataset for city-scale building energy simulation",
"doi": "10.1038/s41597-023-02261-5",
"url": "https://doi.org/10.1038/s41597-023-02261-5",
"journal": "Scientific Data",
"year": 2023,
"authors": "Ma, R.; Fang, D.; Chen, J.; Li, X.",
"abstract": "AbstractCity-scale building energy simulation provides a significant reference for planning and urban management. However, large-scale building energy simulation is often unfeasible due to the huge amount of computational resources required and the lack of high-precision building models. For such reasons, this study developed a tiled multi-city urban objects dataset and a distributed data ontology. Such a data metric not only transforms the conventional whole-city simulation model into patch-bas",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emissions of pesticides in the European Union: a new regional-level dataset",
"doi": "10.1038/s41597-023-02753-4",
"url": "https://doi.org/10.1038/s41597-023-02753-4",
"journal": "Scientific Data",
"year": 2023,
"authors": "Udias, A.; Galimberti, F.; Dorati, C.; Pistocchi, A.",
"abstract": "AbstractWe present a European Union (EU)-wide dataset of estimated quantities of active substances of plant protection product applied on crops (also called “emissions”). Our estimates are derived from data reported by eight EU countries and extrapolated to encompass all EU regions using regression models. These models consider both climate and agricultural land use data. This allows us to spatially represent pesticide use at NUTS Level 3 of the European statistical mapping units, and within var",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads",
"doi": "10.1038/s41597-022-01918-x",
"url": "https://doi.org/10.1038/s41597-022-01918-x",
"journal": "Scientific Data",
"year": 2023,
"authors": "De Silva, A.; Ranasinghe, R.; Sounthararajah, A.; Haghighi, H.; Kodikara, J.",
"abstract": "AbstractThe generation of reference data for machine learning models is challenging for dust emissions due to perpetually dynamic environmental conditions. We generated a new vision dataset with the goal of advancing semantic segmentation to identify and quantify vehicle-induced dust clouds from images. We conducted field experiments on 10 unsealed road segments with different types of road surface materials in varying climatic conditions to capture vehicle-induced road dust. A direct single-len",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A dataset on energy efficiency grade of white goods in mainland China at regional and household levels",
"doi": "10.1038/s41597-023-02358-x",
"url": "https://doi.org/10.1038/s41597-023-02358-x",
"journal": "Scientific Data",
"year": 2023,
"authors": "Li, Z.; Wang, C.; Liu, Y.",
"abstract": "AbstractTo improve energy-saving management, the energy efficiency grade (EEG) was introduced by the Chinese government in the 2000s and mainly implemented for white goods (WGs) in early stages. However, due to the lack of actual statistics, how effective the promotion of high EEG WGs has been in China is still not clear. The China Energy Efficiency Grade (CEEG) of WGs dataset described here comprises (i) EEG-related data on 5 kinds of WGs at the regional (national, provincial) and household lev",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A quantum chemical interaction energy dataset for accurately modeling protein-ligand interactions",
"doi": "10.1038/s41597-023-02443-1",
"url": "https://doi.org/10.1038/s41597-023-02443-1",
"journal": "Scientific Data",
"year": 2023,
"authors": "Spronk, S.; Glick, Z.; Metcalf, D.; Sherrill, C.; Cheney, D.",
"abstract": "AbstractFast and accurate calculation of intermolecular interaction energies is desirable for understanding many chemical and biological processes, including the binding of small molecules to proteins. The Splinter [“Symmetry-adapted perturbation theory (SAPT0)protein-ligandinteraction”] dataset has been created to facilitate the development and improvement of methods for performing such calculations. Molecular fragments representing commonly found substructures in proteins and small-molecule li",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Chinese electricity-focused input-output dataset with detailed coal power and alternative energy for 2018",
"doi": "10.1038/s41597-023-02466-8",
"url": "https://doi.org/10.1038/s41597-023-02466-8",
"journal": "Scientific Data",
"year": 2023,
"authors": "Liang, Y.; Zhang, Y.; Wang, Y.; Zhang, H.; Wang, K.",
"abstract": "AbstractThe electricity-focused input-output model is a popular approach for analysing the socio-economic and environmental impacts of electricity decarbonisation policies; however, it cannot be built directly owing to a lack of data on electricity technology. Here, we provide the Chinese electricity-focused input-output dataset, which characterises the production and distribution of 14 electricity subsectors. Based on the official input-output table for China in 2018, we disaggregate the origin",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A Dataset for Electricity Market Studies on Western and Northeastern Power Grids in the United States",
"doi": "10.1038/s41597-023-02448-w",
"url": "https://doi.org/10.1038/s41597-023-02448-w",
"journal": "Scientific Data",
"year": 2023,
"authors": "Zhang, Q.; Li, F.",
"abstract": "AbstractEfficient electricity market operations and cost-effective electricity generations are fundamental to a low-carbon energy future. The Western Electricity Coordinating Council (WECC) and Northeast Power Coordinating Council (NPCC) systems were built to provide efficient electrical grid simulation solutions for their respective U.S. regions. Data reuse for electricity economic studies remains a challenge due to the lack of credible and realistic economic data. This paper delivers a compreh",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "FIKElectricity: A Electricity Consumption Dataset from Three Restaurant Kitchens in Portugal",
"doi": "10.1038/s41597-023-02698-8",
"url": "https://doi.org/10.1038/s41597-023-02698-8",
"journal": "Scientific Data",
"year": 2023,
"authors": "Pereira, L.; Aguiar, V.; Vasconcelos, F.; Martins, R.; Garcês, T.",
"abstract": "AbstractIndustrial Kitchens are very energy-intensive businesses, consuming between five and seven times more energy per square meter than other commercial spaces like office spaces and retail stores. Still, very little research has been carried out on improving the energy efficiency of this industry. This paper presents the FIKElectricity dataset, a collection of electricity data from three Portuguese restaurant kitchens during their daily operation. The duration of the datasets spans three to ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A synthetic dataset of Danish residential electricity prosumers",
"doi": "10.1038/s41597-023-02271-3",
"url": "https://doi.org/10.1038/s41597-023-02271-3",
"journal": "Scientific Data",
"year": 2023,
"authors": "Yuan, R.; Pourmousavi, S.; Soong, W.; Black, A.; Liisberg, J.",
"abstract": "AbstractConventional residential electricity consumers are becoming prosumers who not only consume electricity but also produce it. This shift is expected to occur over the next few decades at a large scale, and it presents numerous uncertainties and risks for the operation, planning, investment, and viable business models of the electricity grid. To prepare for this shift, researchers, utilities, policymakers, and emerging businesses require a comprehensive understanding of future prosumers’ el",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A Large Ensemble Global Dataset for Climate Impact Assessments",
"doi": "10.1038/s41597-023-02708-9",
"url": "https://doi.org/10.1038/s41597-023-02708-9",
"journal": "Scientific Data",
"year": 2023,
"authors": "Gao, X.; Sokolov, A.; Schlosser, C.",
"abstract": "AbstractWe present a self-consistent, large ensemble, high-resolution global dataset of long‐term future climate, which accounts for the uncertainty in climate system response to anthropogenic emissions of greenhouse gases and in geographical patterns of climate change. The dataset is developed by applying an integrated spatial disaggregation (SD) − bias-correction (BC) method to climate projections from the MIT Integrated Global System Model (IGSM). Four emission scenarios are considered that r",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CLIMBra - Climate Change Dataset for Brazil",
"doi": "10.1038/s41597-023-01956-z",
"url": "https://doi.org/10.1038/s41597-023-01956-z",
"journal": "Scientific Data",
"year": 2023,
"authors": "Ballarin, A.; Sone, J.; Gesualdo, G.; Schwamback, D.; Reis, A.",
"abstract": "AbstractGeneral Circulation and Earth System Models are the most advanced tools for investigating climate responses to future scenarios of greenhouse gas emissions, playing the role of projecting the climate throughout the century. Nevertheless, climate projections are model-dependent and may show systematic biases, requiring a bias correction for any further application. Here, we provide a dataset based on an ensemble of 19 bias-corrected CMIP6 climate models projections for the Brazilian terri",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution",
"doi": "10.1038/s41597-023-01991-w",
"url": "https://doi.org/10.1038/s41597-023-01991-w",
"journal": "Scientific Data",
"year": 2023,
"authors": "Zheng, C.; Jia, L.; Zhao, T.",
"abstract": "AbstractGlobal soil moisture estimates from current satellite missions are suffering from inherent discontinuous observations and coarse spatial resolution, which limit applications especially at the fine spatial scale. This study developed a dataset of global gap-free surface soil moisture (SSM) at daily 1-km resolution from 2000 to 2020. This is achieved based on the European Space Agency - Climate Change Initiative (ESA-CCI) SSM combined product at 0.25° resolution. Firstly, an operational ga",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A battery dataset for electric vertical takeoff and landing aircraft",
"doi": "10.1038/s41597-023-02180-5",
"url": "https://doi.org/10.1038/s41597-023-02180-5",
"journal": "Scientific Data",
"year": 2023,
"authors": "Bills, A.; Sripad, S.; Fredericks, L.; Guttenberg, M.; Charles, D.",
"abstract": "Abstract\n Electric vertical takeoff and landing aircraft have a unique duty cycle characterized by high discharge currents at the beginning and end of the mission (corresponding to takeoff and landing of the aircraft) and a moderate power requirement between them with no rest periods during the mission. Here, we generated a dataset of battery duty profiles for an electric vertical takeoff and landing aircraft using a cell typical for that application. The dataset features 22 cel",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection",
"doi": "10.1038/s41597-023-02066-6",
"url": "https://doi.org/10.1038/s41597-023-02066-6",
"journal": "Scientific Data",
"year": 2023,
"authors": "Suo, J.; Wang, T.; Zhang, X.; Chen, H.; Zhou, W.",
"abstract": "AbstractWe present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared thermal images extracted from 43,470 frames in hundreds of videos captured by UAVs in various scenarios, such as schools, parking lots, roads, and playgrounds. Moreover, the HIT-UAV provides essential flight data for each image, including flight altitude, camera perspective, date, and daylight intensity. For ea",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Positron emission tomography dataset of [11C]carbon dioxide storage in coal for geo-sequestration application",
"doi": "10.1038/s41597-023-02754-3",
"url": "https://doi.org/10.1038/s41597-023-02754-3",
"journal": "Scientific Data",
"year": 2023,
"authors": "Jing, Y.; Kumaran, A.; Stimson, D.; Mardon, K.; Najdovski, L.",
"abstract": "AbstractPositron Emission Tomography (PET) imaging has demonstrated its capability in providing time-lapse fluid flow visualisation for improving the understanding of flow properties of geologic media. To investigate the process of CO2 geo-sequestration using PET imaging technology, [11C]CO2 is the most optimal and direct radiotracer. However, it has not been extensively used due to the short half-life of Carbon-11 (20.4 minutes). In this work, a novel laboratory protocol is developed to use [11",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon footprint and embodied nutrition evaluation of 388 recipes",
"doi": "10.1038/s41597-023-02702-1",
"url": "https://doi.org/10.1038/s41597-023-02702-1",
"journal": "Scientific Data",
"year": 2023,
"authors": "Long, Y.; Huang, L.; Fujie, R.; He, P.; Chen, Z.",
"abstract": "AbstractFood consumption, which delivers fundamental energy and essential nutrients to human beings, is crucial for achieving a series of sustainable goals. Alongside rising population growth and living standards, there has been a significant increase in food cultivation demands, supply chain complexities, and waste management. Therefore, to protect human health and the environment, promoting sustainable food systems and the uptake of sustainable dietary habits are vital. Yet, information on the",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Extension and update of multiscale monthly household carbon footprint in Japan from 2011 to 2022",
"doi": "10.1038/s41597-023-02329-2",
"url": "https://doi.org/10.1038/s41597-023-02329-2",
"journal": "Scientific Data",
"year": 2023,
"authors": "Huang, L.; Montagna, S.; Wu, Y.; Chen, Z.; Tanaka, K.",
"abstract": "AbstractHousehold consumption significantly contributes to greenhouse gas emissions as it is the largest component of final demand in the national accounting system. Nevertheless, there is an apparent lack of comprehensive and consistent datasets detailing emissions from household consumption. Here, we expand and update Japan’s multiscale monthly household carbon footprint from January 2011 to September 2022, combining data from government statistics and surveys. We constructed a dataset compris",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Publisher Correction: Extension and update of multiscale monthly household carbon footprint in Japan from 2011 to 2022",
"doi": "10.1038/s41597-023-02381-y",
"url": "https://doi.org/10.1038/s41597-023-02381-y",
"journal": "Scientific Data",
"year": 2023,
"authors": "Huang, L.; Montagna, S.; Wu, Y.; Chen, Z.; Tanaka, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A dataset of low-carbon energy transition index for Chinese cities 2003–2019",
"doi": "10.1038/s41597-023-02815-7",
"url": "https://doi.org/10.1038/s41597-023-02815-7",
"journal": "Scientific Data",
"year": 2023,
"authors": "Shen, Y.; Shi, X.; Zhao, Z.; Xu, J.; Sun, Y.",
"abstract": "AbstractCities are at the heart of climate change mitigation as they account for over 70% of global carbon emissions. However, cities vary in their energy systems and socioeconomic capacities to transition to renewable energy. To address this heterogeneity, this study proposes an Energy Transition Index (ETI) specifically designed for cities, and applies it to track the progress of energy transition in Chinese cities. The city-level ETI framework is based on the national ETI developed by the Wor",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mechanisms for improved open-circuit voltage in ternary organic solar cells",
"doi": "10.1038/s41560-023-01313-9",
"url": "https://doi.org/10.1038/s41560-023-01313-9",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Origins of the open-circuit voltage in ternary organic solar cells and design rules for minimized voltage losses",
"doi": "10.1038/s41560-023-01309-5",
"url": "https://doi.org/10.1038/s41560-023-01309-5",
"journal": "Nature Energy",
"year": 2023,
"authors": "Wang, Y.; Yu, J.; Zhang, R.; Yuan, J.; Hultmark, S.",
"abstract": "AbstractThe power conversion efficiency of ternary organic solar cells (TOSCs), consisting of one host binary blend and one guest component, remains limited by large voltage losses. The fundamental understanding of the open-circuit voltage (VOC) in TOSCs is controversial, limiting rational design of the guest component. In this study, we systematically investigate how the guest component affects the radiative and non-radiative related parts of VOC of a series of TOSCs using the detailed balanced",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Roma energy security",
"doi": "10.1038/s41560-023-01373-x",
"url": "https://doi.org/10.1038/s41560-023-01373-x",
"journal": "Nature Energy",
"year": 2023,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The politics of energy security",
"doi": "10.1038/s41560-023-01398-2",
"url": "https://doi.org/10.1038/s41560-023-01398-2",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Decoding energy model variations",
"doi": "10.1038/s41560-023-01402-9",
"url": "https://doi.org/10.1038/s41560-023-01402-9",
"journal": "Nature Energy",
"year": 2023,
"authors": "Ou, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Simplifying solar adoption regulation",
"doi": "10.1038/s41560-023-01369-7",
"url": "https://doi.org/10.1038/s41560-023-01369-7",
"journal": "Nature Energy",
"year": 2023,
"authors": "Lakeman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Fixed charge passivation in perovskite solar cells",
"doi": "10.1038/s41560-023-01392-8",
"url": "https://doi.org/10.1038/s41560-023-01392-8",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Update on the Solar Cells Reporting Summary",
"doi": "10.1038/s41560-023-01432-3",
"url": "https://doi.org/10.1038/s41560-023-01432-3",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Silicon solar cells step up",
"doi": "10.1038/s41560-023-01296-7",
"url": "https://doi.org/10.1038/s41560-023-01296-7",
"journal": "Nature Energy",
"year": 2023,
"authors": "Green, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Concentrating on solar for hydrogen",
"doi": "10.1038/s41560-023-01256-1",
"url": "https://doi.org/10.1038/s41560-023-01256-1",
"journal": "Nature Energy",
"year": 2023,
"authors": "Deutsch, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Perovskite solar cells take the heat",
"doi": "10.1038/s41560-023-01400-x",
"url": "https://doi.org/10.1038/s41560-023-01400-x",
"journal": "Nature Energy",
"year": 2023,
"authors": "Ramadan, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Taking control of energy as a solar prosumer",
"doi": "10.1038/s41560-022-01174-8",
"url": "https://doi.org/10.1038/s41560-022-01174-8",
"journal": "Nature Energy",
"year": 2023,
"authors": "Middlemiss, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Transparent aerogels reduce energy loss through building windows",
"doi": "10.1038/s41560-023-01229-4",
"url": "https://doi.org/10.1038/s41560-023-01229-4",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Building integration and cooling",
"doi": "10.1038/s41560-023-01237-4",
"url": "https://doi.org/10.1038/s41560-023-01237-4",
"journal": "Nature Energy",
"year": 2023,
"authors": "Tregnago, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Challenges resulting from urban density and climate change for the EU energy transition",
"doi": "10.1038/s41560-023-01232-9",
"url": "https://doi.org/10.1038/s41560-023-01232-9",
"journal": "Nature Energy",
"year": 2023,
"authors": "Perera, A.; Javanroodi, K.; Mauree, D.; Nik, V.; Florio, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emissions from natural hydrogen",
"doi": "10.1038/s41560-023-01344-2",
"url": "https://doi.org/10.1038/s41560-023-01344-2",
"journal": "Nature Energy",
"year": 2023,
"authors": "Gallagher, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emissions savings from equitable energy demand reduction",
"doi": "10.1038/s41560-023-01283-y",
"url": "https://doi.org/10.1038/s41560-023-01283-y",
"journal": "Nature Energy",
"year": 2023,
"authors": "Büchs, M.; Cass, N.; Mullen, C.; Lucas, K.; Ivanova, D.",
"abstract": "AbstractEnergy demand reduction (EDR) will be required to reach climate targets in the Global North. To be compatible with just transitions principles, EDR needs to be equitable. Equitable EDR may involve targeting high energy users while ensuring the satisfaction of needs for all, which could require increasing consumption of low users. Emissions impacts of equitable EDR approaches have not yet been assessed. This Article finds that capping energy use of the top quintile of consumers across 27 ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Enhancing carbon utilization",
"doi": "10.1038/s41560-023-01207-w",
"url": "https://doi.org/10.1038/s41560-023-01207-w",
"journal": "Nature Energy",
"year": 2023,
"authors": "Clark, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Implications of intercontinental renewable electricity trade for energy systems and emissions",
"doi": "10.1038/s41560-023-01409-2",
"url": "https://doi.org/10.1038/s41560-023-01409-2",
"journal": "Nature Energy",
"year": 2023,
"authors": "Guo, F.; van Ruijven, B.; Zakeri, B.; Zhang, S.; Chen, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A global model of hourly space heating and cooling demand at multiple spatial scales",
"doi": "10.1038/s41560-023-01341-5",
"url": "https://doi.org/10.1038/s41560-023-01341-5",
"journal": "Nature Energy",
"year": 2023,
"authors": "Staffell, I.; Pfenninger, S.; Johnson, N.",
"abstract": "Abstract\n \n Accurate modelling of the weather’s temporal and spatial impacts on building energy demand is critical to decarbonizing energy systems. Here we introduce a customizable model for hourly heating and cooling demand applicable globally at all spatial scales. We validate against demand from ~5,000 buildings and 43 regions across four continents. The model requires limited data inputs and shows better agreement with measured demand than existing models.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Linking energy use to local climate",
"doi": "10.1038/s41560-023-01407-4",
"url": "https://doi.org/10.1038/s41560-023-01407-4",
"journal": "Nature Energy",
"year": 2023,
"authors": "Reinhart, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Equity, diversity and inclusion in climate and energy philanthropy matters",
"doi": "10.1038/s41560-023-01424-3",
"url": "https://doi.org/10.1038/s41560-023-01424-3",
"journal": "Nature Energy",
"year": 2023,
"authors": "Hoicka, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rail-based mobile energy storage as a grid-reliability solution for climate extremes",
"doi": "10.1038/s41560-023-01284-x",
"url": "https://doi.org/10.1038/s41560-023-01284-x",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Leveraging rail-based mobile energy storage to increase grid reliability in the face of climate uncertainty",
"doi": "10.1038/s41560-023-01276-x",
"url": "https://doi.org/10.1038/s41560-023-01276-x",
"journal": "Nature Energy",
"year": 2023,
"authors": "Moraski, J.; Popovich, N.; Phadke, A.",
"abstract": "Abstract\n Maintaining reliability is increasingly challenging for electric grids as they endure more frequent extreme weather events and utilize more intermittent generation. Exploration of alternative reliability approaches is needed to effectively address these emerging issues. Here we examine the potential to use the US rail system as a nationwide backup transmission grid over which containerized batteries, or rail-based mobile energy storage (RMES), are shared among regions ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "International relations theory on grid communities and international politics in a green world",
"doi": "10.1038/s41560-023-01363-z",
"url": "https://doi.org/10.1038/s41560-023-01363-z",
"journal": "Nature Energy",
"year": 2023,
"authors": "Smith Stegen, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Local and utility-wide cost allocations for a more equitable wildfire-resilient distribution grid",
"doi": "10.1038/s41560-023-01306-8",
"url": "https://doi.org/10.1038/s41560-023-01306-8",
"journal": "Nature Energy",
"year": 2023,
"authors": "Wang, Z.; Wara, M.; Majumdar, A.; Rajagopal, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Uncertainty analysis identifies drivers of offshore wind deployment",
"doi": "10.1038/s41560-023-01372-y",
"url": "https://doi.org/10.1038/s41560-023-01372-y",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Tackling grand challenges in wind energy through a socio-technical perspective",
"doi": "10.1038/s41560-023-01266-z",
"url": "https://doi.org/10.1038/s41560-023-01266-z",
"journal": "Nature Energy",
"year": 2023,
"authors": "Kirkegaard, J.; Rudolph, D.; Nyborg, S.; Solman, H.; Gill, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Expanded modelling scenarios to understand the role of offshore wind in decarbonizing the United States",
"doi": "10.1038/s41560-023-01364-y",
"url": "https://doi.org/10.1038/s41560-023-01364-y",
"journal": "Nature Energy",
"year": 2023,
"authors": "Beiter, P.; Mai, T.; Mowers, M.; Bistline, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate change impacts on planned supply–demand match in global wind and solar energy systems",
"doi": "10.1038/s41560-023-01304-w",
"url": "https://doi.org/10.1038/s41560-023-01304-w",
"journal": "Nature Energy",
"year": 2023,
"authors": "Liu, L.; He, G.; Wu, M.; Liu, G.; Zhang, H.",
"abstract": "AbstractClimate change modulates both energy demand and wind and solar energy supply but a globally synthetic analysis of supply–demand match (SDM) is lacking. Here, we use 12 state-of-the-art climate models to assess climate change impacts on SDM, quantified by the fraction of demand met by local wind or solar supply. For energy systems with varying dependence on wind or solar supply, up to 32% or 44% of non-Antarctic land areas, respectively, are projected to experience robust SDM reductions b",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Impact of siting ordinances on land availability for wind and solar development",
"doi": "10.1038/s41560-023-01319-3",
"url": "https://doi.org/10.1038/s41560-023-01319-3",
"journal": "Nature Energy",
"year": 2023,
"authors": "Lopez, A.; Cole, W.; Sergi, B.; Levine, A.; Carey, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "UV–vis spectroscopy for monitoring oxidation state changes during electrochemical energy storage",
"doi": "10.1038/s41560-023-01258-z",
"url": "https://doi.org/10.1038/s41560-023-01258-z",
"journal": "Nature Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "In situ monitoring redox processes in energy storage using UV–Vis spectroscopy",
"doi": "10.1038/s41560-023-01240-9",
"url": "https://doi.org/10.1038/s41560-023-01240-9",
"journal": "Nature Energy",
"year": 2023,
"authors": "Zhang, D.; Wang, R.; Wang, X.; Gogotsi, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Engineering relaxors by entropy for high energy storage performance",
"doi": "10.1038/s41560-023-01300-0",
"url": "https://doi.org/10.1038/s41560-023-01300-0",
"journal": "Nature Energy",
"year": 2023,
"authors": "Yang, B.; Zhang, Q.; Huang, H.; Pan, H.; Zhu, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy storage solutions to decarbonize electricity through enhanced capacity expansion modelling",
"doi": "10.1038/s41560-023-01340-6",
"url": "https://doi.org/10.1038/s41560-023-01340-6",
"journal": "Nature Energy",
"year": 2023,
"authors": "Levin, T.; Bistline, J.; Sioshansi, R.; Cole, W.; Kwon, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A phenazine-based high-capacity and high-stability electrochemical CO2 capture cell with coupled electricity storage",
"doi": "10.1038/s41560-023-01347-z",
"url": "https://doi.org/10.1038/s41560-023-01347-z",
"journal": "Nature Energy",
"year": 2023,
"authors": "Pang, S.; Jin, S.; Yang, F.; Alberts, M.; Li, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Moving beyond two-carbon products",
"doi": "10.1038/s41560-023-01316-6",
"url": "https://doi.org/10.1038/s41560-023-01316-6",
"journal": "Nature Energy",
"year": 2023,
"authors": "Crane, J.; Dinh, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Understanding India’s low-carbon energy technology startup landscape",
"doi": "10.1038/s41560-023-01216-9",
"url": "https://doi.org/10.1038/s41560-023-01216-9",
"journal": "Nature Energy",
"year": 2023,
"authors": "Krishna, H.; Kashyap, Y.; Dutt, D.; Sagar, A.; Malhotra, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy consumption of current and future production of lithium-ion and post lithium-ion battery cells",
"doi": "10.1038/s41560-023-01355-z",
"url": "https://doi.org/10.1038/s41560-023-01355-z",
"journal": "Nature Energy",
"year": 2023,
"authors": "Degen, F.; Winter, M.; Bendig, D.; Tübke, J.",
"abstract": "AbstractDue to the rapidly increasing demand for electric vehicles, the need for battery cells is also increasing considerably. However, the production of battery cells requires enormous amounts of energy, which is expensive and produces greenhouse gas emissions. Here, by combining data from literature and from own research, we analyse how much energy lithium-ion battery (LIB) and post lithium-ion battery (PLIB) cell production requires on cell and macro-economic levels, currently and in the fut",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Addendum to: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment",
"doi": "10.1038/s41560-023-01312-w",
"url": "https://doi.org/10.1038/s41560-023-01312-w",
"journal": "Nature Energy",
"year": 2023,
"authors": "Madhu, K.; Pauliuk, S.; Dhathri, S.; Creutzig, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Negative Emission Technologies",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Radiative electrochromism for energy-efficient buildings",
"doi": "10.1038/s41893-022-01030-3",
"url": "https://doi.org/10.1038/s41893-022-01030-3",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Revised estimates of racial and ethnic disparities in rooftop photovoltaic deployment in the United States",
"doi": "10.1038/s41893-023-01134-4",
"url": "https://doi.org/10.1038/s41893-023-01134-4",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Dokshin, F.; Thiede, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Reply to: Revised estimates of racial and ethnic disparities in rooftop photovoltaic deployment in the United States",
"doi": "10.1038/s41893-023-01135-3",
"url": "https://doi.org/10.1038/s41893-023-01135-3",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Sunter, D.; Castellanos, S.; Kammen, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A titanium dioxide sponge for capturing lead leaking from perovskite solar cells",
"doi": "10.1038/s41893-023-01149-x",
"url": "https://doi.org/10.1038/s41893-023-01149-x",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Using solar farms as a platform for the ecological restoration of arid soils",
"doi": "10.1038/s41893-023-01108-6",
"url": "https://doi.org/10.1038/s41893-023-01108-6",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Artificial intelligence for reducing the carbon emissions of 5G networks in China",
"doi": "10.1038/s41893-023-01208-3",
"url": "https://doi.org/10.1038/s41893-023-01208-3",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon emissions of 5G mobile networks in China",
"doi": "10.1038/s41893-023-01206-5",
"url": "https://doi.org/10.1038/s41893-023-01206-5",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Li, T.; Yu, L.; Ma, Y.; Duan, T.; Huang, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts of aggressive driving on transport emissions in China",
"doi": "10.1038/s41893-023-01174-w",
"url": "https://doi.org/10.1038/s41893-023-01174-w",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Pathways to net-zero emissions from aviation",
"doi": "10.1038/s41893-022-01046-9",
"url": "https://doi.org/10.1038/s41893-022-01046-9",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Bergero, C.; Gosnell, G.; Gielen, D.; Kang, S.; Bazilian, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mercury and CO2 emissions from artisanal gold mining in Brazilian Amazon rainforest",
"doi": "10.1038/s41893-023-01242-1",
"url": "https://doi.org/10.1038/s41893-023-01242-1",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Fritz, B.; Peregovich, B.; da Silva Tenório, L.; da Silva Alves, A.; Schmidt, M.",
"abstract": "Abstract\n \n The Tapajós River basin in Brazil is one of the world’s regions most affected by artisanal gold mining (ASGM), which is responsible for the release of mercury and high energy consumption. Mercury, mixed with gold-containing materials and then released through heating to extract the gold, can be recovered using a simple distillation device called a retort. Use of these tools has now become standard. In a comprehensive study, we investigated the use ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Designing diversified renewable energy systems to balance multisector performance",
"doi": "10.1038/s41893-022-01033-0",
"url": "https://doi.org/10.1038/s41893-022-01033-0",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Gonzalez, J.; Tomlinson, J.; Martínez Ceseña, E.; Basheer, M.; Obuobie, E.",
"abstract": "AbstractRenewable energy system development and improved operation can mitigate climate change. In many regions, hydropower is called to counterbalance the temporal variability of intermittent renewables like solar and wind. However, using hydropower to integrate these renewables can affect aquatic ecosystems and increase cross-sectoral water conflicts. We develop and apply an artificial intelligence-assisted multisector design framework in Ghana, which shows how hydropower’s flexibility alone c",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Afforesting arid land with renewable electricity and desalination to mitigate climate change",
"doi": "10.1038/s41893-022-01056-7",
"url": "https://doi.org/10.1038/s41893-022-01056-7",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Caldera, U.; Breyer, C.",
"abstract": "AbstractAfforestation is one of the most practised carbon dioxide removal methods but is constrained by the availability of suitable land and sufficient water resources. In this research, existing concepts of low-cost renewable electricity (RE) and seawater desalination are built upon to identify the global CO2 sequestration potential if RE-powered desalination plants were used to irrigate forests on arid land over the period 2030–2100. Results indicate a cumulative CO2 sequestration potential o",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Renewable and safer bisphenol A substitutes enabled by selective zeolite alkylation",
"doi": "10.1038/s41893-023-01201-w",
"url": "https://doi.org/10.1038/s41893-023-01201-w",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Trullemans, L.; Koelewijn, S.; Boonen, I.; Cooreman, E.; Hendrickx, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Biogas production in United States dairy farms incentivized by electricity policy changes",
"doi": "10.1038/s41893-022-01038-9",
"url": "https://doi.org/10.1038/s41893-022-01038-9",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Erickson, E.; Tominac, P.; Zavala, V.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Decarbonization efforts hindered by China’s slow progress on electricity market reforms",
"doi": "10.1038/s41893-023-01111-x",
"url": "https://doi.org/10.1038/s41893-023-01111-x",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Yu, Y.; Wang, J.; Chen, Q.; Urpelainen, J.; Ding, Q.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Effects of expanding electric vehicle charging stations in California on the housing market",
"doi": "10.1038/s41893-022-01058-5",
"url": "https://doi.org/10.1038/s41893-022-01058-5",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Liang, J.; Qiu, Y.; Liu, P.; He, P.; Mauzerall, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Looking for massive carbon capture",
"doi": "10.1038/s41893-023-01066-z",
"url": "https://doi.org/10.1038/s41893-023-01066-z",
"journal": "Nature Sustainability",
"year": 2023,
"authors": "Chiavazzo, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset",
"doi": "10.1038/s41467-023-40585-3",
"url": "https://doi.org/10.1038/s41467-023-40585-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Hartono, N.; Köbler, H.; Graniero, P.; Khenkin, M.; Schlatmann, R.",
"abstract": "AbstractWhile perovskite solar cells have reached competitive efficiency values during the last decade, stability issues remain a critical challenge to be addressed for pushing this technology towards commercialisation. In this study, we analyse a large homogeneous dataset of Maximum Power Point Tracking (MPPT) operational ageing data that we collected with a custom-built High-throughput Ageing System in the past 3 years. In total, 2,245 MPPT ageing curves are analysed which were obtained under ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Improved photovoltaic performance and robustness of all-polymer solar cells enabled by a polyfullerene guest acceptor",
"doi": "10.1038/s41467-023-37738-9",
"url": "https://doi.org/10.1038/s41467-023-37738-9",
"journal": "Nature Communications",
"year": 2023,
"authors": "Yu, H.; Wang, Y.; Zou, X.; Yin, J.; Shi, X.",
"abstract": "AbstractFullerene acceptors typically possess excellent electron-transporting properties and can work as guest components in ternary organic solar cells to enhance the charge extraction and efficiencies. However, conventional fullerene small molecules typically suffer from undesirable segregation and dimerization, thus limiting their applications in organic solar cells. Herein we report the use of a poly(fullerene-alt-xylene) acceptor (PFBO-C12) as guest component enables a significant efficienc",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "High-efficiency bio-inspired hybrid multi-generation photovoltaic leaf",
"doi": "10.1038/s41467-023-38984-7",
"url": "https://doi.org/10.1038/s41467-023-38984-7",
"journal": "Nature Communications",
"year": 2023,
"authors": "Huang, G.; Xu, J.; Markides, C.",
"abstract": "AbstractMost solar energy incident (>70%) upon commercial photovoltaic panels is dissipated as heat, increasing their operating temperature, and leading to significant deterioration in electrical performance. The solar utilisation efficiency of commercial photovoltaic panels is typically below 25%. Here, we demonstrate a hybrid multi-generation photovoltaic leaf concept that employs a biomimetic transpiration structure made of eco-friendly, low-cost and widely-available materials for effectiv",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Electrical performance of a fully reconfigurable series-parallel photovoltaic module",
"doi": "10.1038/s41467-023-43927-3",
"url": "https://doi.org/10.1038/s41467-023-43927-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Calcabrini, A.; Muttillo, M.; Zeman, M.; Manganiello, P.; Isabella, O.",
"abstract": "AbstractReconfigurable photovoltaic modules are a promising approach to improve the energy yield of partially shaded systems. So far, the feasibility of this concept has been evaluated through simulations or simplified experiments. In this work, we analyse the outdoor performance of a full-scale prototype of a series-parallel photovoltaic module with six reconfigurable blocks. Over a 4-month-long period, its performance was compared to a reference photovoltaic module with static interconnections",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Prolonged hydrogen production by engineered green algae photovoltaic power stations",
"doi": "10.1038/s41467-023-42529-3",
"url": "https://doi.org/10.1038/s41467-023-42529-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Gwon, H.; Park, G.; Yun, J.; Ryu, W.; Ahn, H.",
"abstract": "AbstractInterest in securing energy production channels from renewable sources is higher than ever due to the daily observation of the impacts of climate change. A key renewable energy harvesting strategy achieving carbon neutral cycles is artificial photosynthesis. Solar-to-fuel routes thus far relied on elaborately crafted semiconductors, undermining the cost-efficiency of the system. Furthermore, fuels produced required separation prior to utilization. As an artificial photosynthesis design, ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Precise synthesis and photovoltaic properties of giant molecule acceptors",
"doi": "10.1038/s41467-023-43846-3",
"url": "https://doi.org/10.1038/s41467-023-43846-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Zhuo, H.; Li, X.; Zhang, J.; Zhu, C.; He, H.",
"abstract": "AbstractSeries of giant molecule acceptors DY, TY and QY with two, three and four small molecule acceptor subunits are synthesized by a stepwise synthetic method and used for systematically investigating the influence of subunit numbers on the structure-property relationship from small molecule acceptor YDT to giant molecule acceptors and to polymerized small molecule acceptor PY-IT. Among these acceptors-based devices, the TY-based film shows proper donor/acceptor phase separation, higher charg",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Impacts of climate change, population growth, and power sector decarbonization on urban building energy use",
"doi": "10.1038/s41467-023-41458-5",
"url": "https://doi.org/10.1038/s41467-023-41458-5",
"journal": "Nature Communications",
"year": 2023,
"authors": "Wang, C.; Song, J.; Shi, D.; Reyna, J.; Horsey, H.",
"abstract": "AbstractClimate, technologies, and socio-economic changes will influence future building energy use in cities. However, current low-resolution regional and state-level analyses are insufficient to reliably assist city-level decision-making. Here we estimate mid-century hourly building energy consumption in 277 U.S. urban areas using a bottom-up approach. The projected future climate change results in heterogeneous changes in energy use intensity (EUI) among urban areas, particularly under higher",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Creating complex protocells and prototissues using simple DNA building blocks",
"doi": "10.1038/s41467-023-36875-5",
"url": "https://doi.org/10.1038/s41467-023-36875-5",
"journal": "Nature Communications",
"year": 2023,
"authors": "Arulkumaran, N.; Singer, M.; Howorka, S.; Burns, J.",
"abstract": "AbstractBuilding synthetic protocells and prototissues hinges on the formation of biomimetic skeletal frameworks. Recreating the complexity of cytoskeletal and exoskeletal fibers, with their widely varying dimensions, cellular locations and functions, represents a major material hurdle and intellectual challenge which is compounded by the additional demand of using simple building blocks to ease fabrication and control. Here we harness simplicity to create complexity by assembling structural fra",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The effect of sustainable mobility transition policies on cumulative urban transport emissions and energy demand",
"doi": "10.1038/s41467-023-37728-x",
"url": "https://doi.org/10.1038/s41467-023-37728-x",
"journal": "Nature Communications",
"year": 2023,
"authors": "Winkler, L.; Pearce, D.; Nelson, J.; Babacan, O.",
"abstract": "AbstractThe growing urban transport sector presents towns and cities with an escalating challenge in the reduction of their greenhouse gas emissions. Here we assess the effectiveness of several widely considered policy options (electrification, light-weighting, retrofitting, scrapping, regulated manufacturing standards and modal shift) in achieving the transition to sustainable urban mobility in terms of their emissions and energy impact until 2050. Our analysis investigates the severity of acti",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Warming proportional to cumulative carbon emissions not explained by heat and carbon sharing mixing processes",
"doi": "10.1038/s41467-023-42111-x",
"url": "https://doi.org/10.1038/s41467-023-42111-x",
"journal": "Nature Communications",
"year": 2023,
"authors": "Gillett, N.",
"abstract": "AbstractThe constant ratio of global warming to cumulative CO2 emissions underpins the use of cumulative emissions budgets as policy tools, and the need to reach net zero CO2 emissions to stabilize global mean temperature. Several studies have argued that this property arises because heat and carbon are mixed into the ocean by similar physical processes, and this argument was echoed in the latest Intergovernmental Panel on Climate Change report. Here we show that, contrary to this hypothesis, at",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Projecting future carbon emissions from cement production in developing countries",
"doi": "10.1038/s41467-023-43660-x",
"url": "https://doi.org/10.1038/s41467-023-43660-x",
"journal": "Nature Communications",
"year": 2023,
"authors": "Cheng, D.; Reiner, D.; Yang, F.; Cui, C.; Meng, J.",
"abstract": "AbstractAchieving low-carbon development of the cement industry in the developing countries is fundamental to global emissions abatement, considering the local construction industry’s rapid growth. However, there is currently a lack of systematic and accurate accounting and projection of cement emissions in developing countries, which are characterized with lower basic economic country condition. Here, we provide bottom-up quantifications of emissions from global cement production and reveal a r",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Limitations to sustainable renewable jet fuels production attributed to cost than energy-water-food resource availability",
"doi": "10.1038/s41467-023-44049-6",
"url": "https://doi.org/10.1038/s41467-023-44049-6",
"journal": "Nature Communications",
"year": 2023,
"authors": "Chong, C.; Ng, J.",
"abstract": "AbstractRenewable jet fuel (RJF) is often touted as the only viable sustainable energy source for the aviation sector, given the difficulties faced by other low-carbon energy sources in overcoming technological barriers. Despite that, the sustainability of RJF is still in dispute due to the conflicting requirements in natural resource for producing the fuels. We introduce a holistic 25-indicator sustainability index encompassing the four domains of energy-water-food nexus and governance, that me",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global green hydrogen-based steel opportunities surrounding high quality renewable energy and iron ore deposits",
"doi": "10.1038/s41467-023-38123-2",
"url": "https://doi.org/10.1038/s41467-023-38123-2",
"journal": "Nature Communications",
"year": 2023,
"authors": "Devlin, A.; Kossen, J.; Goldie-Jones, H.; Yang, A.",
"abstract": "AbstractThe steel sector currently accounts for 7% of global energy-related CO2 emissions and requires deep reform to disconnect from fossil fuels. Here, we investigate the market competitiveness of one of the widely considered decarbonisation routes for primary steel production: green hydrogen-based direct reduction of iron ore followed by electric arc furnace steelmaking. Through analysing over 300 locations by combined use of optimisation and machine learning, we show that competitive renewab",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "2D MXenes polar catalysts for multi-renewable energy harvesting applications",
"doi": "10.1038/s41467-023-39791-w",
"url": "https://doi.org/10.1038/s41467-023-39791-w",
"journal": "Nature Communications",
"year": 2023,
"authors": "Pan, X.; Yang, X.; Yu, M.; Lu, X.; Kang, H.",
"abstract": "AbstractThe synchronous harvesting and conversion of multiple renewable energy sources for chemical fuel production and environmental remediation in a single system is a holy grail in sustainable energy technologies. However, it is challenging to develop advanced energy harvesters that satisfy different working mechanisms. Here, we theoretically and experimentally disclose the use of MXene materials as versatile catalysts for multi-energy utilization. Ti3C2TX MXene shows remarkable catalytic per",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The contribution of corporate initiatives to global renewable electricity deployment",
"doi": "10.1038/s41467-023-40356-0",
"url": "https://doi.org/10.1038/s41467-023-40356-0",
"journal": "Nature Communications",
"year": 2023,
"authors": "Egli, F.; Zhang, R.; Hopo, V.; Schmidt, T.; Steffen, B.",
"abstract": "AbstractClimate change is gaining importance on the agenda of senior decision makers in the private sector. Hence, corporate renewable electricity (RE) procurement may become more relevant to the energy transition. RE100 is the largest corporate initiative to foster RE procurement with 315 corporate members as of 2021. Yet, the contribution of such initiatives to the energy transition remains unclear, because public reporting is aggregated on the global level. Here, we develop an approach to map",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Meteorological drivers of resource adequacy failures in current and high renewable Western U.S. power systems",
"doi": "10.1038/s41467-023-41875-6",
"url": "https://doi.org/10.1038/s41467-023-41875-6",
"journal": "Nature Communications",
"year": 2023,
"authors": "Sundar, S.; Craig, M.; Payne, A.; Brayshaw, D.; Lehner, F.",
"abstract": "AbstractPower system resource adequacy (RA), or its ability to continually balance energy supply and demand, underpins human and economic health. How meteorology affects RA and RA failures, particularly with increasing penetrations of renewables, is poorly understood. We characterize large-scale circulation patterns that drive RA failures in the Western U.S. at increasing wind and solar penetrations by integrating power system and synoptic meteorology methods. At up to 60% renewable penetration ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Global transcontinental power pools for low-carbon electricity",
"doi": "10.1038/s41467-023-43723-z",
"url": "https://doi.org/10.1038/s41467-023-43723-z",
"journal": "Nature Communications",
"year": 2023,
"authors": "Yang, H.; Deshmukh, R.; Suh, S.",
"abstract": "AbstractThe transition to low-carbon electricity is crucial for meeting global climate goals. However, given the uneven spatial distribution and temporal variability of renewable resources, balancing the supply and demand of electricity will be challenging when relying on close to 100% shares of renewable energy. Here, we use an electricity planning model with hourly supply-demand projections and high-resolution renewable resource maps, to examine whether transcontinental power pools reliably me",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electricity-driven asymmetric bromocyclization enabled by chiral phosphate anion phase-transfer catalysis",
"doi": "10.1038/s41467-023-36000-6",
"url": "https://doi.org/10.1038/s41467-023-36000-6",
"journal": "Nature Communications",
"year": 2023,
"authors": "Tan, X.; Wang, Q.; Sun, J.",
"abstract": "AbstractElectricity-driven asymmetric catalysis is an emerging powerful tool in organic synthesis. However, asymmetric induction so far has mainly relied on forming strong bonds with a chiral catalyst. Asymmetry induced by weak interactions with a chiral catalyst in an electrochemical medium remains challenging due to compatibility issues related to solvent polarity, electrolyte interference, etc. Enabled by a properly designed phase-transfer strategy, here we have achieved two efficient electri",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A low-carbon electricity sector in Europe risks sustaining regional inequalities in benefits and vulnerabilities",
"doi": "10.1038/s41467-023-37946-3",
"url": "https://doi.org/10.1038/s41467-023-37946-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Sasse, J.; Trutnevyte, E.",
"abstract": "AbstractImproving equity is an emerging priority in climate and energy strategies, but little is known how these strategies would alter inequalities. Regional inequalities such as price, employment and land use are especially relevant in the electricity sector, which must decarbonize first to allow other sectors to decarbonize. Here, we show that a European low-carbon electricity sector in 2035 can reduce but also sustain associated regional inequalities. Using spatially-explicit modeling for 29",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Inefficient prioritization of task-relevant attributes during instrumental information demand",
"doi": "10.1038/s41467-023-38821-x",
"url": "https://doi.org/10.1038/s41467-023-38821-x",
"journal": "Nature Communications",
"year": 2023,
"authors": "Rischall, I.; Hunter, L.; Jensen, G.; Gottlieb, J.",
"abstract": "AbstractIn natural settings, people evaluate complex multi-attribute situations and decide which attribute to request information about. Little is known about how people make this selection and specifically, how they identify individual observations that best predict the value of a multi-attribute situation. Here show that, in a simple task of information demand, participants inefficiently query attributes that have high individual value but are relatively uninformative about a total payoff. Thi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How climate policy commitments influence energy systems and the economies of US states",
"doi": "10.1038/s41467-023-40560-y",
"url": "https://doi.org/10.1038/s41467-023-40560-y",
"journal": "Nature Communications",
"year": 2023,
"authors": "Bergquist, P.; Warshaw, C.",
"abstract": "AbstractIn the United States, state governments have been the locus of action for addressing climate change. However, the lack of a holistic measure of state climate policy has prevented a comprehensive assessment of state policies’ effectiveness. Here, we assemble information from 25 individual policies to develop an aggregate index of state climate policies from 2000-2020. The climate policy index highlights variation between states which is difficult to assess in single policy studies. Next, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets",
"doi": "10.1038/s41467-023-42925-9",
"url": "https://doi.org/10.1038/s41467-023-42925-9",
"journal": "Nature Communications",
"year": 2023,
"authors": "Zhou, Y.; Wu, S.; Liu, Z.; Rognone, L.",
"abstract": "AbstractClimate change affects price fluctuations in the carbon, energy and metals markets through physical and transition risks. Climate physical risk is mainly caused by extreme weather, natural disasters and other events caused by climate change, whereas climate transition risk mainly results from the gradual switchover to a low-carbon economy. Given that the connectedness between financial markets may be affected by various factors such as extreme events and economic transformation, understa",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Geospatial mapping of distribution grid with machine learning and publicly-accessible multi-modal data",
"doi": "10.1038/s41467-023-39647-3",
"url": "https://doi.org/10.1038/s41467-023-39647-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Wang, Z.; Majumdar, A.; Rajagopal, R.",
"abstract": "AbstractDetailed and location-aware distribution grid information is a prerequisite for various power system applications such as renewable energy integration, wildfire risk assessment, and infrastructure planning. However, a generalizable and scalable approach to obtain such information is still lacking. In this work, we develop a machine-learning-based framework to map both overhead and underground distribution grids using widely-available multi-modal data including street view images, road ne",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mental search of concepts is supported by egocentric vector representations and restructured grid maps",
"doi": "10.1038/s41467-023-43831-w",
"url": "https://doi.org/10.1038/s41467-023-43831-w",
"journal": "Nature Communications",
"year": 2023,
"authors": "Viganò, S.; Bayramova, R.; Doeller, C.; Bottini, R.",
"abstract": "Abstract\n The human hippocampal-entorhinal system is known to represent both spatial locations and abstract concepts in memory in the form of allocentric cognitive maps. Using fMRI, we show that the human parietal cortex evokes complementary egocentric representations in conceptual spaces during goal-directed mental search, akin to those observable during physical navigation to determine where a goal is located relative to oneself (e.g., to our left or to our right). Concurrentl",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China",
"doi": "10.1038/s41467-023-37536-3",
"url": "https://doi.org/10.1038/s41467-023-37536-3",
"journal": "Nature Communications",
"year": 2023,
"authors": "Guo, X.; Chen, X.; Chen, X.; Sherman, P.; Wen, J.",
"abstract": "AbstractOffshore wind power, with accelerated declining levelized costs, is emerging as a critical building-block to fully decarbonize the world’s largest CO2 emitter, China. However, system integration barriers as well as system balancing costs have not been quantified yet. Here we develop a bottom-up model to test the grid accommodation capabilities and design the optimal investment plans for offshore wind power considering resource distributions, hourly power system simulations, and transmiss",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electric vehicle batteries alone could satisfy short-term grid storage demand by as early as 2030",
"doi": "10.1038/s41467-022-35393-0",
"url": "https://doi.org/10.1038/s41467-022-35393-0",
"journal": "Nature Communications",
"year": 2023,
"authors": "Xu, C.; Behrens, P.; Gasper, P.; Smith, K.; Hu, M.",
"abstract": "AbstractThe energy transition will require a rapid deployment of renewable energy (RE) and electric vehicles (EVs) where other transit modes are unavailable. EV batteries could complement RE generation by providing short-term grid services. However, estimating the market opportunity requires an understanding of many socio-technical parameters and constraints. We quantify the global EV battery capacity available for grid storage using an integrated model incorporating future EV battery deployment",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Hidden delays of climate mitigation benefits in the race for electric vehicle deployment",
"doi": "10.1038/s41467-023-38182-5",
"url": "https://doi.org/10.1038/s41467-023-38182-5",
"journal": "Nature Communications",
"year": 2023,
"authors": "Ren, Y.; Sun, X.; Wolfram, P.; Zhao, S.; Tang, X.",
"abstract": "AbstractAlthough battery electric vehicles (BEVs) are climate-friendly alternatives to internal combustion engine vehicles (ICEVs), an important but often ignored fact is that the climate mitigation benefits of BEVs are usually delayed. The manufacture of BEVs is more carbon-intensive than that of ICEVs, leaving a greenhouse gas (GHG) debt to be paid back in the future use phase. Here we analyze millions of vehicle data from the Chinese market and show that the GHG break-even time (GBET) of Chin",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "China’s electric vehicle and climate ambitions jeopardized by surging critical material prices",
"doi": "10.1038/s41467-023-36957-4",
"url": "https://doi.org/10.1038/s41467-023-36957-4",
"journal": "Nature Communications",
"year": 2023,
"authors": "Wang, H.; Feng, K.; Wang, P.; Yang, Y.; Sun, L.",
"abstract": "AbstractThe adoption of electric vehicles (EVs) on a large scale is crucial for meeting the desired climate commitments, where affordability plays a vital role. However, the expected surge in prices of lithium, cobalt, nickel, and manganese, four critical materials in EV batteries, could hinder EV uptake. To explore these impacts in the context of China, the world’s largest EV market, we expand and enrich an integrated assessment model. We find that under a high material cost surge scenario, EVs",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Wind-driven device for cooling permafrost",
"doi": "10.1038/s41467-023-43375-z",
"url": "https://doi.org/10.1038/s41467-023-43375-z",
"journal": "Nature Communications",
"year": 2023,
"authors": "Qin, Y.; Wang, T.; Yuan, W.",
"abstract": "AbstractPreserving permafrost subgrade is a challenge due to global warming, but passive cooling techniques have limited success. Here, we present a novel wind-driven device that can cool permafrost subgrade by circulating coolant between the ambient air and the subgrade. It consists of a wind mill, a mechanical clutch with phase change material, and a fluid-circulation heat exchanger. The clutch engages and disengages through freezing and melting phase change material, while the device turns of",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Cooling Technologies",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Global land and water limits to electrolytic hydrogen production using wind and solar resources",
"doi": "10.1038/s41467-023-41107-x",
"url": "https://doi.org/10.1038/s41467-023-41107-x",
"journal": "Nature Communications",
"year": 2023,
"authors": "Tonelli, D.; Rosa, L.; Gabrielli, P.; Caldeira, K.; Parente, A.",
"abstract": "Abstract\n Proposals for achieving net-zero emissions by 2050 include scaling-up electrolytic hydrogen production, however, this poses technical, economic, and environmental challenges. One such challenge is for policymakers to ensure a sustainable future for the environment including freshwater and land resources while facilitating low-carbon hydrogen production using renewable wind and solar energy. We establish a country-by-country reference scenario for hydrogen demand in 205",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Exploiting nonaqueous self-stratified electrolyte systems toward large-scale energy storage",
"doi": "10.1038/s41467-023-37995-8",
"url": "https://doi.org/10.1038/s41467-023-37995-8",
"journal": "Nature Communications",
"year": 2023,
"authors": "Wang, Z.; Ji, H.; Zhou, J.; Zheng, Y.; Liu, J.",
"abstract": "AbstractBiphasic self-stratified batteries (BSBs) provide a new direction in battery philosophy for large-scale energy storage, which successfully reduces the cost and simplifies the architecture of redox flow batteries. However, current aqueous BSBs have intrinsic limits on the selection range of electrode materials and energy density due to the narrow electrochemical window of water. Thus, herein, we develop nonaqueous BSBs based on Li-S chemistry, which deliver an almost quadruple increase in",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles",
"doi": "10.1038/s41467-023-41992-2",
"url": "https://doi.org/10.1038/s41467-023-41992-2",
"journal": "Nature Communications",
"year": 2023,
"authors": "Onat, N.; Mandouri, J.; Kucukvar, M.; Sen, B.; Abbasi, S.",
"abstract": "AbstractAutonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In this study, we investigate tradeoffs between improved fuel economy and rebound effects from a life-cycle perspective. Our results show that autonomy introduces an average 21.2% decrease in operation phase emissions due to improved fuel economy while manufacturing phase emi",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Incentive based emergency demand response effectively reduces peak load during heatwave without harm to vulnerable groups",
"doi": "10.1038/s41467-023-41970-8",
"url": "https://doi.org/10.1038/s41467-023-41970-8",
"journal": "Nature Communications",
"year": 2023,
"authors": "Wang, Z.; Lu, B.; Wang, B.; Qiu, Y.; Shi, H.",
"abstract": "Abstract\n The incentive-based emergency demand response measure serves as an important regulatory tool during energy system operations. However, whether people will sacrifice comfort to respond to it during heatwave and what the effect on heat vulnerable populations will be are still unclear. A large-scale emergency demand response pilot involving 205,129 households was conducted in southwestern China during continuous extreme high temperatures in summer. We found that the incen",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Switchable biomimetic nanochannels for on-demand SO2 detection by light-controlled photochromism",
"doi": "10.1038/s41467-023-37654-y",
"url": "https://doi.org/10.1038/s41467-023-37654-y",
"journal": "Nature Communications",
"year": 2023,
"authors": "Zhang, D.; Sun, Y.; Wang, Z.; Liu, F.; Zhang, X.",
"abstract": "AbstractIn contrast to the conventional passive reaction to analytes, here, we create a proof-of-concept nanochannel system capable of on-demand recognition of the target to achieve an unbiased response. Inspired by light-activatable biological channelrhodopsin-2, photochromic spiropyran/anodic aluminium oxide nanochannel sensors are constructed to realize a light-controlled inert/active-switchable response to SO2 by ionic transport behaviour. We find that light can finely regulate the reactivit",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How energy transition affects jobs",
"doi": "10.1038/s41558-023-01830-1",
"url": "https://doi.org/10.1038/s41558-023-01830-1",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Muttitt, G.; Gass, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Shale gas revolution could paralyse the energy transition",
"doi": "10.1038/s41558-023-01892-1",
"url": "https://doi.org/10.1038/s41558-023-01892-1",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Gerlagh, R.; Smulders, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate change exacerbates snow-water-energy challenges for European ski tourism",
"doi": "10.1038/s41558-023-01759-5",
"url": "https://doi.org/10.1038/s41558-023-01759-5",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "François, H.; Samacoïts, R.; Bird, D.; Köberl, J.; Prettenthaler, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Solar and wind",
"doi": "10.1038/s41558-023-01840-z",
"url": "https://doi.org/10.1038/s41558-023-01840-z",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Cheng, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Can solar radiation modification prevent a future collapse of the West Antarctic Ice Sheet?",
"doi": "10.1038/s41558-023-01739-9",
"url": "https://doi.org/10.1038/s41558-023-01739-9",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Co-benefits of carbon neutrality in enhancing and stabilizing solar and wind energy",
"doi": "10.1038/s41558-023-01692-7",
"url": "https://doi.org/10.1038/s41558-023-01692-7",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Lei, Y.; Wang, Z.; Wang, D.; Zhang, X.; Che, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Contribution of prioritized urban nature-based solutions allocation to carbon neutrality",
"doi": "10.1038/s41558-023-01737-x",
"url": "https://doi.org/10.1038/s41558-023-01737-x",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Pan, H.; Page, J.; Shi, R.; Cong, C.; Cai, Z.",
"abstract": "Abstract\n Nature-based solutions (NBS) are essential for carbon-neutral cities, yet how to effectively allocate them remains a question. Carbon neutrality requires city-led climate action plans that incorporate both indirect and direct contributions of NBS. Here we assessed the carbon emissions mitigation potential of NBS in European cities, focusing particularly on commonly overlooked indirect pathways, for example, human behavioural interventions and resource savings. Assuming",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Snowballing carbon emissions",
"doi": "10.1038/s41558-023-01842-x",
"url": "https://doi.org/10.1038/s41558-023-01842-x",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Findlay, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Seeing carbon dioxide emissions through the trees",
"doi": "10.1038/s41558-023-01719-z",
"url": "https://doi.org/10.1038/s41558-023-01719-z",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Trudinger, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Retrofitted carbon capture and storage for negative emissions in China’s co-firing plants",
"doi": "10.1038/s41558-023-01756-8",
"url": "https://doi.org/10.1038/s41558-023-01756-8",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Co-firing plants with retrofitted carbon capture and storage for power-sector emissions mitigation",
"doi": "10.1038/s41558-023-01736-y",
"url": "https://doi.org/10.1038/s41558-023-01736-y",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Fan, J.; Fu, J.; Zhang, X.; Li, K.; Zhou, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Carbon emissions and economic impacts of an EU embargo on Russian fossil fuels",
"doi": "10.1038/s41558-023-01606-7",
"url": "https://doi.org/10.1038/s41558-023-01606-7",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Liu, L.; Jiang, H.; Liang, Q.; Creutzig, F.; Liao, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Modern food emissions",
"doi": "10.1038/s41558-023-01643-2",
"url": "https://doi.org/10.1038/s41558-023-01643-2",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Drought and electricity",
"doi": "10.1038/s41558-023-01807-0",
"url": "https://doi.org/10.1038/s41558-023-01807-0",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "China’s bulk material loops can be closed but deep decarbonization requires demand reduction",
"doi": "10.1038/s41558-023-01782-6",
"url": "https://doi.org/10.1038/s41558-023-01782-6",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Song, L.; van Ewijk, S.; Masanet, E.; Watari, T.; Meng, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: China’s bulk material loops can be closed but deep decarbonization requires demand reduction",
"doi": "10.1038/s41558-023-01866-3",
"url": "https://doi.org/10.1038/s41558-023-01866-3",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Song, L.; van Ewijk, S.; Masanet, E.; Watari, T.; Meng, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Widespread shift from ecosystem energy to water limitation with climate change",
"doi": "10.1038/s41558-023-01729-x",
"url": "https://doi.org/10.1038/s41558-023-01729-x",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Denissen, J.; Teuling, A.; Pitman, A.; Koirala, S.; Migliavacca, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Wind influences the onset of a seasonally sea-ice-free Arctic",
"doi": "10.1038/s41558-023-01699-0",
"url": "https://doi.org/10.1038/s41558-023-01699-0",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Slowdown of Antarctic Bottom Water export driven by climatic wind and sea-ice changes",
"doi": "10.1038/s41558-023-01695-4",
"url": "https://doi.org/10.1038/s41558-023-01695-4",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Zhou, S.; Meijers, A.; Meredith, M.; Abrahamsen, E.; Holland, P.",
"abstract": "AbstractAntarctic Bottom Water (AABW) is pivotal for oceanic heat and carbon sequestrations on multidecadal to millennial timescales. The Weddell Sea contributes nearly a half of global AABW through Weddell Sea Deep Water and denser underlying Weddell Sea Bottom Water that form on the continental shelves via sea-ice production. Here we report an observed 30% reduction of Weddell Sea Bottom Water volume since 1992, with the largest decrease in the densest classes. This is probably driven by a mul",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Warming to increase cropland carbon sink",
"doi": "10.1038/s41558-022-01559-3",
"url": "https://doi.org/10.1038/s41558-022-01559-3",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Campo, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon taxes and inflation",
"doi": "10.1038/s41558-023-01673-w",
"url": "https://doi.org/10.1038/s41558-023-01673-w",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Advancing towards carbon-neutral events",
"doi": "10.1038/s41558-023-01889-w",
"url": "https://doi.org/10.1038/s41558-023-01889-w",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Cheng, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Future warming from global food consumption",
"doi": "10.1038/s41558-023-01605-8",
"url": "https://doi.org/10.1038/s41558-023-01605-8",
"journal": "Nature Climate Change",
"year": 2023,
"authors": "Ivanovich, C.; Sun, T.; Gordon, D.; Ocko, I.",
"abstract": "Abstract\n \n Food consumption is a major source of greenhouse gas (GHG) emissions, and evaluating its future warming impact is crucial for guiding climate mitigation action. However, the lack of granularity in reporting food item emissions and the widespread use of oversimplified metrics such as CO\n 2\n equivalents have complicated interpretation. We resolve these challenges by developing a global food consumption GHG emissi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Correction to: A kirigami-enabled electrochromic wearable variable-emittance device for energy-efficient adaptive personal thermoregulation",
"doi": "10.1093/pnasnexus/pgad378",
"url": "https://doi.org/10.1093/pnasnexus/pgad378",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Probabilistic projections of granular energy technology diffusion at subnational level",
"doi": "10.1093/pnasnexus/pgad321",
"url": "https://doi.org/10.1093/pnasnexus/pgad321",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Zielonka, N.; Wen, X.; Trutnevyte, E.",
"abstract": "Abstract\n Projections of granular energy technology diffusion can support decision-making on climate mitigation policies and infrastructure investments. However, such projections often do not account for uncertainties and have low spatial resolution. S-curve models of technology diffusion are widely used to project future installations, but the results of the different models can vary significantly. We propose a method to create probabilistic projections of granular energy technolo",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Membrane free-energy landscapes derived from atomistic dynamics explain nonuniversal cholesterol-induced stiffening",
"doi": "10.1093/pnasnexus/pgad269",
"url": "https://doi.org/10.1093/pnasnexus/pgad269",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Fiorin, G.; Forrest, L.; Faraldo-Gómez, J.",
"abstract": "Abstract\n All lipid membranes have inherent morphological preferences and resist deformation. Yet adaptations in membrane shape can and do occur at multiple length scales. While this plasticity is crucial for cellular physiology, the factors controlling the morphological energetics of lipid bilayers and the dominant mechanisms of membrane remodeling remain to be fully understood. An ongoing debate regarding the universality of the stiffening effect of cholesterol underscores the",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Pore formation driven by particle impact in laser powder-blown directed energy deposition",
"doi": "10.1093/pnasnexus/pgad178",
"url": "https://doi.org/10.1093/pnasnexus/pgad178",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Webster, S.; Moser, N.; Fezzaa, K.; Sun, T.; Ehmann, K.",
"abstract": "Abstract\n Process defects currently limit the use of metal additive manufacturing (AM) components in industries due to shorter fatigue life, potential for catastrophic failure, and lower strength. Conditions under which these defects form, and their mechanisms, are starting to be analyzed to improve reliability and structural integrity of these highly customized parts. We use in situ, high-speed X-ray imaging in conjunction with a high throughput laser, powder-blown directed energy",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Photovoltaic fields largely outperform afforestation efficiency in global climate change mitigation strategies",
"doi": "10.1093/pnasnexus/pgad352",
"url": "https://doi.org/10.1093/pnasnexus/pgad352",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Stern, R.; Muller, J.; Rotenberg, E.; Amer, M.; Segev, L.",
"abstract": "Abstract\n Suppression of carbon emissions through photovoltaic (PV) energy and carbon sequestration through afforestation provides complementary climate change mitigation (CCM) strategies. However, a quantification of the “break-even time” (BET) required to offset the warming impacts of the reduced surface reflectivity of incoming solar radiation (albedo effect) is needed, though seldom accounted for in CCM strategies. Here, we quantify the CCM potential of PV fields and afforestat",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Toward carbon neutrality: Projecting a desert-based photovoltaic power network circumnavigating the globe",
"doi": "10.1093/pnasnexus/pgad097",
"url": "https://doi.org/10.1093/pnasnexus/pgad097",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Zhou, Y.; Liu, J.; Ge, W.; He, C.; Ma, J.",
"abstract": "Abstract\n Carbon, the human's most reliable fuel type in the past, must be neutralized in this century toward the Paris Agreement temperature goals. Solar power is widely believed a key fossil fuel substitute but suffers from the needs of large space occupation and huge energy storage for peak shaving. Here, we propose a solar network circumnavigating the globe to connecting large-scale desert photovoltaics among continents. By evaluating the generation potential of desert photovol",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "An all ambient, room temperature–processed solar cell from a bare silicon wafer",
"doi": "10.1093/pnasnexus/pgad067",
"url": "https://doi.org/10.1093/pnasnexus/pgad067",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Okamoto, K.; Fujita, Y.; Nishigaya, K.; Tanabe, K.",
"abstract": "Abstract\n Solar cells are a promising optoelectronic device for the simultaneous solution of energy resource and environmental problems. However, their high cost and slow, laborious production process so far severely hinder a sufficient widespread of clean, renewable photovoltaic energy as a major alternative electricity generator. This undesirable situation is mainly attributed to the fact that photovoltaic devices have been manufactured through a series of vacuum and high-tempera",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Bioinspired stability enhancement in deuterium-substituted organic–inorganic hybrid perovskite solar cells",
"doi": "10.1093/pnasnexus/pgad160",
"url": "https://doi.org/10.1093/pnasnexus/pgad160",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Tong, J.; Li, X.; Wang, J.; He, H.; Xu, T.",
"abstract": "Abstract\n In hybrid perovskite solar cells (PSCs), the reaction of hydrogens (H) located in the amino group of the organic A-site cations with their neighboring halides plays a central role in degradation. Inspired by the retarded biological activities of cells in heavy water, we replaced the light H atom with its abundant, twice-as-heavy, nonradioactive isotope, deuterium (D) to hamper the motion of H. This D substitution retarded the formation kinetics of the detrimental H halide",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Hazardous air pollutant emissions estimates from wildfires in the wildland urban interface",
"doi": "10.1093/pnasnexus/pgad186",
"url": "https://doi.org/10.1093/pnasnexus/pgad186",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Holder, A.; Ahmed, A.; Vukovich, J.; Rao, V.",
"abstract": "Abstract\n Fires that occur in the wildland urban interface (WUI) often burn structures, vehicles, and their contents in addition to biomass in the natural landscape. Because these fires burn near population centers, their emissions may have a sizeable impact on public health, necessitating a better understanding of criteria and hazardous air pollutants emitted from these fires and how they differ from wildland fires. Previous studies on the toxicity of emissions from the combustion",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Estimation of natural methane emissions from the largest oil sand deposits on earth",
"doi": "10.1093/pnasnexus/pgad260",
"url": "https://doi.org/10.1093/pnasnexus/pgad260",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Wei, C.; Jafari Raad, S.; Hassanzadeh, H.",
"abstract": "AbstractWorldwide methane emission by various industrial sources is one of the important human concerns due to its serious climate and air-quality implications. This study investigates less-considered diffusive natural methane emissions from the world's largest oil sand deposits. An analytical model, considering the first-order methane degradation, in combination with Monte Carlo simulations, is used to quantitatively characterize diffusive methane emissions from Alberta's oil sands formations. ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port",
"doi": "10.1093/pnasnexus/pgad391",
"url": "https://doi.org/10.1093/pnasnexus/pgad391",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Liu, S.; Li, X.; Li, J.; Shu, L.; Fu, T.",
"abstract": "AbstractMaritime trade and associated emissions are dynamic in nature. Although shipping emissions contribute significantly to air quality and climate change, their trade-governed dynamics remain less explored due to the lack of observational evidence. Here, we use satellite measurements to capture the redistribution of shipping nitrogen oxides (NOx) emissions from Shanghai port, the world’s busiest port, during a natural experiment posted by the localized COVID-19 lockdown in 2022. Viewing the ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Aircraft and satellite observations reveal historical gap between top–down and bottom–up CO2 emissions from Canadian oil sands",
"doi": "10.1093/pnasnexus/pgad140",
"url": "https://doi.org/10.1093/pnasnexus/pgad140",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Wren, S.; McLinden, C.; Griffin, D.; Li, S.; Cober, S.",
"abstract": "AbstractMeasurement-based estimates of greenhouse gas (GHG) emissions from complex industrial operations are challenging to obtain, but serve as an important, independent check on inventory-reported emissions. Such top–down estimates, while important for oil and gas (O&G) emissions globally, are particularly relevant for Canadian oil sands (OS) operations, which represent the largest O&G contributor to national GHG emissions. We present a multifaceted top–down approach for estimating CO2",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cementing CO2 into C-S-H: A step toward concrete carbon neutrality",
"doi": "10.1093/pnasnexus/pgad052",
"url": "https://doi.org/10.1093/pnasnexus/pgad052",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Stefaniuk, D.; Hajduczek, M.; Weaver, J.; Ulm, F.; Masic, A.",
"abstract": "Abstract\n Addressing the existing gap between currently available mitigation strategies for greenhouse gas emissions associated with ordinary Portland cement production and the 2050 carbon neutrality goal represents a significant challenge. In order to bridge this gap, one potential option is the direct gaseous sequestration and storage of anthropogenic CO2 in concrete through forced carbonate mineralization in both the cementing minerals and their aggregates. To better clarify the",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Pelagic microplastics in the North Pacific Subtropical Gyre: A prevalent anthropogenic component of the particulate organic carbon pool",
"doi": "10.1093/pnasnexus/pgad070",
"url": "https://doi.org/10.1093/pnasnexus/pgad070",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Zhao, S.; Mincer, T.; Lebreton, L.; Egger, M.",
"abstract": "Abstract\n Due to its ever-increasing ocean inputs, fossil-based microplastics (MP) comprise a considerable constituent in the particulate organic carbon (POC) pool, which is instrumental in ocean biogeochemical cycling. Their distribution within the oceanic water column and the underpinning processes, however, remain unclear. Here we show that MP prevail throughout the water column of the eastern North Pacific Subtropical Gyre, comprising 334 #/m3 (84.5% of plastic particles &l",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Implementation of carbon pricing in an aging world calls for targeted protection schemes",
"doi": "10.1093/pnasnexus/pgad209",
"url": "https://doi.org/10.1093/pnasnexus/pgad209",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Tian, P.; Feng, K.; Zheng, H.; Hubacek, K.; Li, J.",
"abstract": "AbstractUnderstanding the impact of climate fiscal policies on vulnerable groups is a prerequisite for equitable climate mitigation. However, there has been a lack of attention to the impacts of such policies on the elderly, especially the low-income elderly, in existing climate policy literature. Here, we quantify and compare the distributional impacts of carbon pricing on different age–income groups in the United States, the United Kingdom, and Japan and then on different age groups in other 2",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Prebiotic synthesis of mineral-bearing microdroplet from inorganic carbon photoreduction at air–water interface",
"doi": "10.1093/pnasnexus/pgad389",
"url": "https://doi.org/10.1093/pnasnexus/pgad389",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Ge, Q.; Liu, Y.; You, W.; Wang, W.; Li, K.",
"abstract": "Abstract\n The origin of life on Earth is an enigmatic and intricate conundrum that has yet to be comprehensively resolved despite recent significant developments within the discipline of archaeology and geology. Chemically, metal-sulfide minerals are speculated to serve as an important medium for giving birth in early life, while yet so far direct evidence to support the hypothesis for the highly efficient conversion of inorganic carbon into praxiological biomolecules remains scarc",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Near-term investments in forest management support long-term carbon sequestration capacity in forests of the United States",
"doi": "10.1093/pnasnexus/pgad345",
"url": "https://doi.org/10.1093/pnasnexus/pgad345",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Coulston, J.; Domke, G.; Walker, D.; Brooks, E.; O’Dea, C.",
"abstract": "Abstract\n The forest carbon sink of the United States offsets emissions in other sectors. Recently passed US laws include important climate legislation for wildfire reduction, forest restoration, and forest planting. In this study, we examine how wildfire reduction strategies and planting might alter the forest carbon sink. Our results suggest that wildfire reduction strategies reduce carbon sequestration potential in the near term but provide a longer term benefit. Planting initia",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A kirigami-enabled electrochromic wearable variable-emittance device for energy-efficient adaptive personal thermoregulation",
"doi": "10.1093/pnasnexus/pgad165",
"url": "https://doi.org/10.1093/pnasnexus/pgad165",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Chen, T.; Hong, Y.; Fu, C.; Nandi, A.; Xie, W.",
"abstract": "Abstract\n For centuries, people have put effort to improve the thermal performance of clothing to adapt to varying temperatures. However, most clothing we wear today only offers a single-mode insulation. The adoption of active thermal management devices, such as resistive heaters, Peltier coolers, and water recirculation, is limited by their excessive energy consumption and form factor for long-term, continuous, and personalized thermal comfort. In this paper, we developed a wearab",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solutions to agricultural green water scarcity under climate change",
"doi": "10.1093/pnasnexus/pgad117",
"url": "https://doi.org/10.1093/pnasnexus/pgad117",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "He, L.; Rosa, L.",
"abstract": "Abstract\n Rain-fed agricultural systems, which solely depend on green water (i.e. soil moisture from rainfall), sustain ∼60% of global food production and are particularly vulnerable to vagaries in temperature and precipitation patterns, which are intensifying due to climate change. Here, using projections of crop water demand and green water availability under warming scenarios, we assess global agricultural green water scarcity—defined when the rainfall regime is unable to meet c",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Environmental problem shifting from climate change mitigation: A mapping review",
"doi": "10.1093/pnasnexus/pgad448",
"url": "https://doi.org/10.1093/pnasnexus/pgad448",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Wood Hansen, O.; van den Bergh, J.",
"abstract": "AbstractClimate change mitigation will trigger major changes in human activity, energy systems, and material use, potentially shifting pressure from climate change to other environmental problems. We provide a comprehensive overview of such “environmental problem shifting” (EPS). While there is considerable research on this issue, studies are scattered across research fields and use a wide range of terms with blurred conceptual boundaries, such as trade-off, side effect, and spillover. We identi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increase in grain production potential of China under climate change",
"doi": "10.1093/pnasnexus/pgad057",
"url": "https://doi.org/10.1093/pnasnexus/pgad057",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Liang, Z.; Sun, L.; Tian, Z.; Fischer, G.; Yan, H.",
"abstract": "Abstract\n The rapid growth of China's demand for grains is expected to continue in the coming decades, largely as a result of the increasing feed demand to produce protein-rich food. This leads to a great concern on future supply potentials of Chinese agriculture under climate change and the extent of China's dependence on world food markets. While the existing literature in both agronomy and climate economics indicates a dominance of the adverse impacts of climate change on rice, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Correction to: Structural measures of personal networks predict migrants’ cultural backgrounds: an explanation from Grid/Group theory",
"doi": "10.1093/pnasnexus/pgad469",
"url": "https://doi.org/10.1093/pnasnexus/pgad469",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Scaling behavior for electric vehicle chargers and road map to addressing the infrastructure gap",
"doi": "10.1093/pnasnexus/pgad341",
"url": "https://doi.org/10.1093/pnasnexus/pgad341",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Wadell, A.; Guttenberg, M.; Kempes, C.; Viswanathan, V.",
"abstract": "Abstract\n Enabling widespread electric vehicle (EV) adoption requires a substantial build-out of charging infrastructure in the coming decade. We formulate the charging infrastructure needs as a scaling analysis problem and use it to estimate the EV infrastructure needs of the USA at a county-level resolution. We find that gasoline and EV charging stations scale sub-linearly with their respective vehicle registrations, recovering the sub-linear scaling typical of infrastructure. Su",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Multisectoral drivers of decarbonizing battery electric vehicles in China",
"doi": "10.1093/pnasnexus/pgad123",
"url": "https://doi.org/10.1093/pnasnexus/pgad123",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Wang, F.; Zhang, S.; Zhao, Y.; Ma, Y.; Zhang, Y.",
"abstract": "Abstract\n China has made great progress in the electrification of passenger cars, and the sales of battery electric vehicles (BEVs) have exceeded 10%. We applied a life-cycle assessment (LCA) method to estimate the carbon dioxide (CO2) emissions of the past (2015), present (2020), and future (2030) BEVs, incorporating China's carbon peaking and neutrality policies, which would substantially reduce emissions from the electricity, operation efficiency, metallurgy, and battery manufac",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Flying cars economically favor battery electric over fuel cell and internal combustion engine",
"doi": "10.1093/pnasnexus/pgad019",
"url": "https://doi.org/10.1093/pnasnexus/pgad019",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Liu, M.; Hao, H.; Lin, Z.; He, X.; Qian, Y.",
"abstract": "Abstract\n Flying cars, essentially vertical takeoff and landing aircraft (VTOL), are an emerging, disruptive technology that is expected to reshape future transportation. VTOLs can be powered by battery electric, fuel cell, or internal combustion engine, which point to entirely different needs for industry expertise, research & development, supply chain, and infrastructure supports. A pre-analysis of the propulsion technology competition is crucial to avoid potential wrong dire",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "New estimates of the storage permanence and ocean co-benefits of enhanced rock weathering",
"doi": "10.1093/pnasnexus/pgad059",
"url": "https://doi.org/10.1093/pnasnexus/pgad059",
"journal": "npj Clean Energy",
"year": 2023,
"authors": "Kanzaki, Y.; Planavsky, N.; Reinhard, C.",
"abstract": "Abstract\n Avoiding many of the most severe consequences of anthropogenic climate change in the coming century will very likely require the development of “negative emissions technologies”—practices that lead to net carbon dioxide removal (CDR) from Earth's atmosphere. However, feedbacks within the carbon cycle place intrinsic limits on the long-term impact of CDR on atmospheric CO2 that are likely to vary across CDR technologies in ways that are poorly constrained. Here, we use an ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "On the contribution of work or heat in exchanged energy via interaction in open bipartite quantum systems",
"doi": "10.1038/s41598-022-27156-0",
"url": "https://doi.org/10.1038/s41598-022-27156-0",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Ahmadi, B.; Salimi, S.; Khorashad, A.",
"abstract": "AbstractThe question of with what we associate work and heat in a quantum thermodynamic process has been extensively discussed, mostly for systems with time-dependent Hamiltonians. In this paper, we aim to investigate the energy exchanged between two quantum systems through interaction where the Hamiltonian of the system is time-independent. An entropy-based re-definitions of heat and work are presented for these quantum thermodynamic systems therefore an entropy-based formalism of both the firs",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transformer fault diagnosis method based on TLR-ADASYN balanced dataset",
"doi": "10.1038/s41598-023-49901-9",
"url": "https://doi.org/10.1038/s41598-023-49901-9",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Guan, S.; Yang, H.; Wu, T.",
"abstract": "AbstractAs the cornerstone of transmission and distribution equipment, power transformer plays a very important role in ensuring the safe operation of power system. At present, the technology of dissolved gas analysis (DGA) has been widely used in fault diagnosis of oil-immersed transformer. However, in the actual scene, the limited number of transformer fault samples and the uneven distribution of different fault types often lead to low overall fault detection accuracy or a few types of fault m",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit",
"doi": "10.1038/s41598-023-35428-6",
"url": "https://doi.org/10.1038/s41598-023-35428-6",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Khalili, Z.; Sheikholeslami, M.; Momayez, L.",
"abstract": "AbstractIn this work, the thermoelectric generator (TEG) layer has been combined with conventional layers of photovoltaic-thermal (PVT) modules to use the waste heat and increase the efficiency. To reduce the cell temperature, there exists a cooling duct in the bottom of the PVT-TEG unit. Type of fluid within the duct and structure of duct can change the performance of the system. So, hybrid nanofluid (mixture of Fe3O4 and MWCNT with water) has been replaced instead of pure water and three vario",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "On the local warming potential of urban rooftop photovoltaic solar panels in cities",
"doi": "10.1038/s41598-023-40280-9",
"url": "https://doi.org/10.1038/s41598-023-40280-9",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Khan, A.; Santamouris, M.",
"abstract": "AbstractUnderstanding and evaluating the implications of photovoltaic solar panels (PVSPs) deployment on urban settings, as well as the pessimistic effects of densely populated areas on PVSPs efficiency, is becoming incredibly valuable. Thus, the deployment of low-efficiency, low-cost, and widely available PVSPs may diminish total solar reflectance, raising the risks of PVSPs-based urban heating, particularly during the summertime heatwaves. This study employs and assesses physical parameterizat",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Author Correction: Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit",
"doi": "10.1038/s41598-023-38125-6",
"url": "https://doi.org/10.1038/s41598-023-38125-6",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Khalili, Z.; Sheikholeslami, M.; Momayez, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The role of double-skin facade configurations in optimizing building energy performance in Erbil city",
"doi": "10.1038/s41598-023-35555-0",
"url": "https://doi.org/10.1038/s41598-023-35555-0",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Naddaf, M.; Baper, S.",
"abstract": "AbstractCarefully designing a building facade is the most crucial way to save energy, and a double-skin facade is an effective strategy for achieving energy efficiency. The improvement that can be made depends on how the double-skin facade is set up and what the weather conditions are like. This study was designed to investigate the best-case scenario with an appropriate double-skin facade configuration for optimizing building energy performance. A methodology for optimizing the building's initi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Low energy consumption form of the U-shaped plan office building in the Yangtze River Delta",
"doi": "10.1038/s41598-023-38279-3",
"url": "https://doi.org/10.1038/s41598-023-38279-3",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Ying, X.; Huangfu, F.; Tao, C.",
"abstract": "Abstract\n The significance of form in green building design is well recognized, as it has a substantial impact on both energy performance and construction cost. This study investigates the impact of the U-shaped plan on the energy demand, which can be flexibly applied to irregular site forms and clustered building blocks, and is widely used in existing office buildings. Specifically, we select the U-shaped plan as the object of study and collect related case data primarily from ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A big data association rule mining based approach for energy building behaviour analysis in an IoT environment",
"doi": "10.1038/s41598-023-47056-1",
"url": "https://doi.org/10.1038/s41598-023-47056-1",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Dolores, M.; Fernandez-Basso, C.; Gómez-Romero, J.; Martin-Bautista, M.",
"abstract": "AbstractThe enormous amount of data generated by sensors and other data sources in modern grid management systems requires new infrastructures, such as IoT (Internet of Things) and Big Data architectures. This, in combination with Data Mining techniques, allows the management and processing of all these heterogeneous massive data in order to discover new insights that can help to reduce the energy consumption of the building. In this paper, we describe a developed methodology for an Internet of ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Application of artificial intelligence in green building concept for energy auditing using drone technology under different environmental conditions",
"doi": "10.1038/s41598-023-35245-x",
"url": "https://doi.org/10.1038/s41598-023-35245-x",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Khan, O.; Parvez, M.; Alansari, M.; Farid, M.; Devarajan, Y.",
"abstract": "AbstractThermal losses through weak building envelope is responsible for global current energy crises. Application of artificial intelligence and drone setups in green buildings can help in providing the sustainable solution the world is striving for years. The contemporary research incorporates a novel concept of measuring the wearing thermal resistances in the building envelope with the aid of a drone system. The above procedure conducts a throughout building analysis by considering three prim",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The impact of China’s energy saving and emission reduction demonstration city policy on urban green technology innovation",
"doi": "10.1038/s41598-023-42520-4",
"url": "https://doi.org/10.1038/s41598-023-42520-4",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Nie, C.; Li, R.; Feng, Y.; Chen, Z.",
"abstract": "AbstractUrban green technology innovation (UGTI) is strongly tied to environmental regulations, which can successfully balance economic and environmental benefits. Selecting the panel data for 280 Chinese cities during 2006–2019, we take the energy saving and emission reduction (ESER) demonstration city policy as a quasi-natural experiment, then employ the difference-in-differences model to examine the effect and its mechanisms of ESER policy on UGTI. Empirical results show that the ESER policy ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Spatial correlation network structure of energy-environment efficiency and its driving factors: a case study of the Yangtze River Delta Urban Agglomeration",
"doi": "10.1038/s41598-023-47370-8",
"url": "https://doi.org/10.1038/s41598-023-47370-8",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Liu, S.; Yuan, J.",
"abstract": "AbstractImproving energy-environment efficiency is not only a requirement for constructing China’s ecological civilization but also inevitable for achieving sustainable economic and social development. Studies on energy-environment efficiency based on relational data and network perspectives are limited, which hinders the development of collaborative regional emission reduction activities. This study uses the SBM-Undesirable model to measure the energy-environment efficiency of the Yangtze River",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Potential of low-enthalpy geothermal energy to degrade organic contaminants of emerging concern in urban groundwater",
"doi": "10.1038/s41598-023-29701-x",
"url": "https://doi.org/10.1038/s41598-023-29701-x",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Pujades, E.; Jurado, A.; Scheiber, L.; Teixidó, M.; Criollo Manjarrez, R.",
"abstract": "AbstractLow-enthalpy geothermal energy (LEGE) is a carbon-free and renewable source to provide cooling and heating to infrastructures (e.g. buildings) by exchanging their temperature with that of the ground. The exchange of temperature modifies the groundwater temperature around LEGE installations, which may contribute to enhancing the capacity of aquifers to degrade organic contaminants of emerging concern (OCECs), whose presence is significantly increasing in urban aquifers. Here, we investiga",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Potential of low-enthalpy geothermal energy to degrade organic contaminants of emerging concern in urban groundwater",
"doi": "10.1038/s41598-023-33394-7",
"url": "https://doi.org/10.1038/s41598-023-33394-7",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Pujades, E.; Jurado, A.; Scheiber, L.; Teixidó, M.; Criollo Manjarrez, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Carbon sinks and carbon emissions balance of land use transition in Xinjiang, China: differences and compensation",
"doi": "10.1038/s41598-023-28537-9",
"url": "https://doi.org/10.1038/s41598-023-28537-9",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Luo, K.; Wang, H.; Ma, C.; Wu, C.; Zheng, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Analysis of renewable energy consumption and economy considering the joint optimal allocation of “renewable energy + energy storage + synchronous condenser”",
"doi": "10.1038/s41598-023-47401-4",
"url": "https://doi.org/10.1038/s41598-023-47401-4",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Wang, Z.; Li, Q.; Kong, S.; Li, W.; Luo, J.",
"abstract": "Abstract\n As renewable energy becomes increasingly dominant in the energy mix, the power system is evolving towards high proportions of renewable energy installations and power electronics-based equipment. This transition introduces significant challenges to the grid’s safe and stable operation. On the one hand, renewable energy generation equipment inherently provides weak voltage support, necessitating improvements in the voltage support capacity at renewable energy grid point",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimizing upside variability and antifragility in renewable energy system design",
"doi": "10.1038/s41598-023-36379-8",
"url": "https://doi.org/10.1038/s41598-023-36379-8",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Coppitters, D.; Contino, F.",
"abstract": "AbstractDespite the considerable uncertainty in predicting critical parameters of renewable energy systems, the uncertainty during system design is often marginally addressed and consistently underestimated. Therefore, the resulting designs are fragile, with suboptimal performances when reality deviates significantly from the predicted scenarios. To address this limitation, we propose an antifragile design optimization framework that redefines the indicator to optimize variability and introduces",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Juxtaposing Sub-Sahara Africa’s energy poverty and renewable energy potential",
"doi": "10.1038/s41598-023-38642-4",
"url": "https://doi.org/10.1038/s41598-023-38642-4",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Mukhtar, M.; Adun, H.; Cai, D.; Obiora, S.; Taiwo, M.",
"abstract": "AbstractRecently, the International Energy Agency (IEA) released a comprehensive roadmap for the global energy sector to achieve net-zero emission by 2050. Considering the sizeable share of (Sub-Sahara) Africa in the global population, the attainment of global energy sector net-zero emission is practically impossible without a commitment from African countries. Therefore, it is important to study and analyze feasible/sustainable ways to solve the energy/electricity poverty in Africa. In this pap",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Integrating renewable energy devices with streetscape elements to electrify the Egyptian roads",
"doi": "10.1038/s41598-023-32773-4",
"url": "https://doi.org/10.1038/s41598-023-32773-4",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Moussa, R.; Gurguis, M.",
"abstract": "AbstractThe high percentage of carbon emissions, which leads to various environmental problems such as air pollution and global warming, is one of the critical issues resulting from the growth of cities. International agreements are being established to prevent these negative effects. Non-renewable resources are also being depleted and may become extinct in future generations. Due to the extensive use of fossil fuels by automobiles, data show that the transportation sector is responsible for rou",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Air-conditioning adoption and electricity demand highlight climate change mitigation–adaptation tradeoffs",
"doi": "10.1038/s41598-023-31469-z",
"url": "https://doi.org/10.1038/s41598-023-31469-z",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Colelli, F.; Wing, I.; Cian, E.",
"abstract": "AbstractWe elucidate mid-century climate change impacts on electricity demand accounting for endogenous adoption of residential air-conditioning (AC) in affluent, cooler countries in Europe, and in poorer, hotter states in India. By 2050, in a high-warming scenario (SSP585) AC prevalence grows twofold in Europe and fourfold in India, reaching around 40% in both regions. We document a mitigation-adaptation tradeoff: AC expansion reduces daily heat exposures by 150 million and 3.8 billion person d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Interrelationships between urban travel demand and electricity consumption: a deep learning approach",
"doi": "10.1038/s41598-023-33133-y",
"url": "https://doi.org/10.1038/s41598-023-33133-y",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Movahedi, A.; Parsa, A.; Rozhkov, A.; Lee, D.; Mohammadian, A.",
"abstract": "AbstractThe analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between infrastructures to eventually enhance their sustainability and resilience. In this study, we focus on electricity consumption and travel demand. In short, the premise is that when people are in buildings consuming electricity, they are not generating traffic on roads, and vice versa, hence the presence of interrelationships. We use Long S",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electricity consumption in Finland influenced by climate effects of energetic particle precipitation",
"doi": "10.1038/s41598-023-47605-8",
"url": "https://doi.org/10.1038/s41598-023-47605-8",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Juntunen, V.; Asikainen, T.",
"abstract": "AbstractIt is known that electricity consumption in many cold Northern countries depends greatly on prevailing outdoor temperatures especially during the winter season. On the other hand, recent research has demonstrated that solar wind driven energetic particle precipitation from space into the polar atmosphere can influence the stratospheric polar vortex and tropospheric weather patterns during winter. These changes are significant, e.g., in Northern Europe, especially in Finland. In this stud",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Author Correction: Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data",
"doi": "10.1038/s41598-023-28997-z",
"url": "https://doi.org/10.1038/s41598-023-28997-z",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Chua, Z.; Evans, A.; Kuleshov, Y.; Watkins, A.; Choy, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "EU climate action through an energy poverty lens",
"doi": "10.1038/s41598-023-32705-2",
"url": "https://doi.org/10.1038/s41598-023-32705-2",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Vandyck, T.; Della Valle, N.; Temursho, U.; Weitzel, M.",
"abstract": "AbstractCarbon pricing can steer energy choices towards low-carbon fuels and foster energy conservation efforts. Simultaneously, higher fossil fuel prices may exacerbate energy poverty. A just portfolio of climate policies therefore requires a balanced instrument mix to jointly combat climate change and energy poverty. We review recent policy developments in the EU aimed at addressing energy poverty and the social implications of the climate neutrality transition. We then operationalise an affor",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Wind power variation by wind veer characteristics with two wind farms",
"doi": "10.1038/s41598-023-37957-6",
"url": "https://doi.org/10.1038/s41598-023-37957-6",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Tumenbayar, U.; Ko, K.",
"abstract": "AbstractTo clarify the wind veer characteristics with height and their effect on the wind turbine power outputs, an investigation was carried out at the wind farms with complex and simple terrains. A 2 MW and a 1.5 MW wind turbine were tested, each having an 80 m tall met mast and a ground lidar to capture wind veering. Wind veer conditions were divided into four types based on wind direction changes with height. The power deviation coefficient (PDC) and the revenue differences for the four type",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimized scheduling study of user side energy storage in cloud energy storage model",
"doi": "10.1038/s41598-023-45673-4",
"url": "https://doi.org/10.1038/s41598-023-45673-4",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Wang, H.; Yao, H.; Zhou, J.; Guo, Q.",
"abstract": "AbstractWith the new round of power system reform, energy storage, as a part of power system frequency regulation and peaking, is an indispensable part of the reform. Among them, user-side small energy storage devices have the advantages of small size, flexible use and convenient application, but present decentralized characteristics in space. Therefore, the optimal allocation of small energy storage resources and the reduction of operating costs are urgent problems to be solved. In this study, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Simulation of melting paraffin with graphene nanoparticles within a solar thermal energy storage system",
"doi": "10.1038/s41598-023-35361-8",
"url": "https://doi.org/10.1038/s41598-023-35361-8",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Jafaryar, M.; Sheikholeslami, M.",
"abstract": "AbstractIn this paper, applying new structure and loading Graphene nanoparticles have been considered as promising techniques for enhancing thermal storage systems. The layers within the paraffin zone were made from aluminum and the melting temperature of paraffin is 319.55 K. The paraffin zone located in the middle section of the triplex tube and uniform hot temperatures (335 K) for both walls of annulus have been applied. Three geometries for the container were applied with changing the angle ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Forecasting the carbon footprint of civil buildings under different floor area growth trends and varying energy supply methods",
"doi": "10.1038/s41598-023-49270-3",
"url": "https://doi.org/10.1038/s41598-023-49270-3",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Teng, J.; Yin, H.",
"abstract": "AbstractThe energy consumption and carbon footprint of buildings are significantly impacted by variations in building area and the number of households. Therefore, it is crucial to forecast the growth trend of building area and number of households. A validated time series model is used to predict the new building area in Jilin Province from 2023 to 2030. The new building area in Jilin Province is expected to exhibit two trends of growth in the future: rapid growth (S1) and slow growth (S2). By ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Blending controlled-release urea and urea under ridge-furrow with plastic film mulching improves yield while mitigating carbon footprint in rainfed potato",
"doi": "10.1038/s41598-022-25845-4",
"url": "https://doi.org/10.1038/s41598-022-25845-4",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Sun, M.; Ma, B.; Lu, P.; Bai, J.; Mi, J.",
"abstract": "AbstractRidge-furrow with plastic film mulching and various urea types have been applied in rainfed agriculture, but their interactive effects on potato (Solanum tuberosum L.) yield and especially environments remain poorly understood. A three-year experiment was conducted to explore the responses of tuber yield, methane (CH4) and nitrous oxide (N2O) emissions, net global warming potential (NGWP), carbon footprint (CF), and net ecosystem economic budget (NEEB) of rainfed potato to two mulching p",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Household energy-saving behavior, its consumption, and life satisfaction in 37 countries",
"doi": "10.1038/s41598-023-28368-8",
"url": "https://doi.org/10.1038/s41598-023-28368-8",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Piao, X.; Managi, S.",
"abstract": "AbstractSince energy consumption became an important contributor to climate change owing to carbon emissions, energy-saving behavior and expenditure at the household level have been attracting scholars’ and policymakers’ attention. This study identified whether greenhouse gas emissions at the household level can be reduced through purchase of energy-saving goods and whether the energy-saving behavior enhanced with household income increase. We conducted a large-scale survey across 37 nations usi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Comprehensive energy efficiency optimization algorithm for steel load considering network reconstruction and demand response",
"doi": "10.1038/s41598-023-46804-7",
"url": "https://doi.org/10.1038/s41598-023-46804-7",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Zang, Y.; Wang, S.; Ge, W.; Li, Y.; Cui, J.",
"abstract": "AbstractIndustrial loads are usually energy intensive and inefficient. The optimization of energy efficiency management in steel plants is still in the early stage of development. Considering the topology of power grid, it is an urgent problem to improve the operation economy and load side energy efficiency of steel plants. In this paper, a two-level collaborative optimization method is proposed, which takes into account the dynamic reconstruction cost, transmission loss cost, energy cost and de",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Impact of implementing emergency demand response program and tie-line on cyber-physical distribution network resiliency",
"doi": "10.1038/s41598-023-30746-1",
"url": "https://doi.org/10.1038/s41598-023-30746-1",
"journal": "Scientific Reports",
"year": 2023,
"authors": "Osman, S.; Sedhom, B.; Kaddah, S.",
"abstract": "AbstractRecently, due to the complex nature of cyber-physical distribution networks (DNs) and the severity of power outages caused by natural disasters, microgrid (MG) formation, distributed renewable energy resources (DRERs), and demand response programs (DRP) have been employed to enhance the resiliency of these networks. This paper proposes a novel multi-objective MGs formation method-based darts game theory optimization algorithm. The microgrid formation is obtained by controlling the sectio",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "JUST-R metrics for considering energy justice in early-stage energy research",
"doi": "10.1016/j.joule.2023.01.007",
"url": "https://doi.org/10.1016/j.joule.2023.01.007",
"journal": "Joule",
"year": 2023,
"authors": "Dutta, N.; Gill, E.; Arkhurst, B.; Hallisey, M.; Fu, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Advancing electrochemistry: Powering electromagnetic energy conversion",
"doi": "10.1016/j.joule.2023.02.008",
"url": "https://doi.org/10.1016/j.joule.2023.02.008",
"journal": "Joule",
"year": 2023,
"authors": "Li, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The growing energy footprint of artificial intelligence",
"doi": "10.1016/j.joule.2023.09.004",
"url": "https://doi.org/10.1016/j.joule.2023.09.004",
"journal": "Joule",
"year": 2023,
"authors": "de Vries, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Bionic algae for solar hydrogen",
"doi": "10.1016/j.joule.2023.04.013",
"url": "https://doi.org/10.1016/j.joule.2023.04.013",
"journal": "Joule",
"year": 2023,
"authors": "Edwards, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
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"title": "A hybrid chemical-biological approach can upcycle mixed plastic waste with reduced cost and carbon footprint",
"doi": "10.1016/j.oneear.2023.10.015",
"url": "https://doi.org/10.1016/j.oneear.2023.10.015",
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"year": 2023,
"authors": "Dou, C.; Choudhary, H.; Wang, Z.; Baral, N.; Mohan, M.",
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"title": "A middle-out approach to foster low-carbon lifestyles",
"doi": "10.1016/j.oneear.2023.03.013",
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"year": 2023,
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"title": "Avoiding carbon leakage from nature-based offsets by design",
"doi": "10.1016/j.oneear.2023.05.024",
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"journal": "One Earth",
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"title": "Optimization of solar and battery-based hybrid renewable energy system augmented with bioenergy and hydro energy-based dispatchable source",
"doi": "10.1016/j.isci.2022.105821",
"url": "https://doi.org/10.1016/j.isci.2022.105821",
"journal": "iScience",
"year": 2023,
"authors": "Memon, S.; Upadhyay, D.; Patel, R.",
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"title": "Resource potential mapping of bifacial photovoltaic systems in India",
"doi": "10.1016/j.isci.2023.108017",
"url": "https://doi.org/10.1016/j.isci.2023.108017",
"journal": "iScience",
"year": 2023,
"authors": "Johnson, J.; Manikandan, S.",
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"title": "India’s photovoltaic potential amidst air pollution and land constraints",
"doi": "10.1016/j.isci.2023.107856",
"url": "https://doi.org/10.1016/j.isci.2023.107856",
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"year": 2023,
"authors": "Ghosh, S.; Kumar, A.; Ganguly, D.; Dey, S.",
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"title": "Techno-economic assessment of implementing photovoltaic water villas in Maldives",
"doi": "10.1016/j.isci.2023.106658",
"url": "https://doi.org/10.1016/j.isci.2023.106658",
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"year": 2023,
"authors": "Qi, L.; Wang, Y.; Song, J.; Yin, C.; Yan, J.",
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"title": "Small area high voltage photovoltaic module for high tolerance to partial shading",
"doi": "10.1016/j.isci.2023.106745",
"url": "https://doi.org/10.1016/j.isci.2023.106745",
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"year": 2023,
"authors": "Fauzan, L.; Yun, M.; Sim, Y.; Lee, D.; Cha, S.",
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"title": "Ion-selective solar crystallizer with rivulets",
"doi": "10.1016/j.isci.2023.106926",
"url": "https://doi.org/10.1016/j.isci.2023.106926",
"journal": "iScience",
"year": 2023,
"authors": "Choi, J.; Na, J.; Jeon, S.",
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"title": "Nanostructured silicon photocatalysts for solar-driven fuel production",
"doi": "10.1016/j.isci.2023.106317",
"url": "https://doi.org/10.1016/j.isci.2023.106317",
"journal": "iScience",
"year": 2023,
"authors": "Putwa, S.; Curtis, I.; Dasog, M.",
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"title": "China’s domestic industry redistribution facilitates carbon emissions mitigation",
"doi": "10.1016/j.isci.2023.106844",
"url": "https://doi.org/10.1016/j.isci.2023.106844",
"journal": "iScience",
"year": 2023,
"authors": "Zhang, Z.; Gao, X.; Tian, K.; Yang, C.; Wang, S.",
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"title": "Multi-scenario reduction pathways and decoupling analysis of China’s sectoral carbon emissions",
"doi": "10.1016/j.isci.2023.108404",
"url": "https://doi.org/10.1016/j.isci.2023.108404",
"journal": "iScience",
"year": 2023,
"authors": "Zhou, K.; Yang, J.; Yin, H.; Ding, T.",
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"title": "The biological carbon pump, diel vertical migration, and carbon dioxide removal",
"doi": "10.1016/j.isci.2023.107835",
"url": "https://doi.org/10.1016/j.isci.2023.107835",
"journal": "iScience",
"year": 2023,
"authors": "Hernández-León, S.",
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"title": "Revisiting electric vehicle life cycle greenhouse gas emissions in China: A marginal emission perspective",
"doi": "10.1016/j.isci.2023.106565",
"url": "https://doi.org/10.1016/j.isci.2023.106565",
"journal": "iScience",
"year": 2023,
"authors": "Zhong, Z.; Yu, Y.; Zhao, X.",
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"title": "Influence of carbon derivatives on carbon capture investments in coal-based power sector, a China perspective",
"doi": "10.1016/j.isci.2023.108026",
"url": "https://doi.org/10.1016/j.isci.2023.108026",
"journal": "iScience",
"year": 2023,
"authors": "Wang, C.; Wang, X.",
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"title": "China’s ambitious low-carbon goals require fostering city-level renewable energy transitions",
"doi": "10.1016/j.isci.2023.106263",
"url": "https://doi.org/10.1016/j.isci.2023.106263",
"journal": "iScience",
"year": 2023,
"authors": "Yang, G.; Zhang, G.; Cao, D.; Zha, D.; Su, B.",
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"title": "Hierarchical approach to evaluating storage requirements for renewable-energy-driven grids",
"doi": "10.1016/j.isci.2022.105900",
"url": "https://doi.org/10.1016/j.isci.2022.105900",
"journal": "iScience",
"year": 2023,
"authors": "Mahmud, Z.; Shiraishi, K.; Abido, M.; Sánchez-Pérez, P.; Kurtz, S.",
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"title": "Large-scale renewable energy brings regionally disproportional air quality and health co-benefits in China",
"doi": "10.1016/j.isci.2023.107459",
"url": "https://doi.org/10.1016/j.isci.2023.107459",
"journal": "iScience",
"year": 2023,
"authors": "Xie, Y.; Xu, M.; Pu, J.; Pan, Y.; Liu, X.",
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"title": "Region-wise evaluation of price-based demand response programs in Japan’s wholesale electricity market considering microeconomic equilibrium",
"doi": "10.1016/j.isci.2023.106978",
"url": "https://doi.org/10.1016/j.isci.2023.106978",
"journal": "iScience",
"year": 2023,
"authors": "Malehmirchegini, L.; Suliman, M.; Farzaneh, H.",
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"title": "Death spiral of the legacy grid: A game-theoretic analysis of modern grid defection processes",
"doi": "10.1016/j.isci.2023.106415",
"url": "https://doi.org/10.1016/j.isci.2023.106415",
"journal": "iScience",
"year": 2023,
"authors": "Navon, A.; Belikov, J.; Ofir, R.; Parag, Y.; Orda, A.",
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{
"title": "Intrinsic theta oscillation in the attractor network of grid cells",
"doi": "10.1016/j.isci.2023.106351",
"url": "https://doi.org/10.1016/j.isci.2023.106351",
"journal": "iScience",
"year": 2023,
"authors": "Wang, Z.; Wang, T.; Yang, F.; Liu, F.; Wang, W.",
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{
"title": "Coherently remapping toroidal cells but not Grid cells are responsible for path integration in virtual agents",
"doi": "10.1016/j.isci.2023.108102",
"url": "https://doi.org/10.1016/j.isci.2023.108102",
"journal": "iScience",
"year": 2023,
"authors": "Schøyen, V.; Pettersen, M.; Holzhausen, K.; Fyhn, M.; Malthe-Sørenssen, A.",
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"title": "Comprehensive assessment for different ranges of battery electric vehicles: Is it necessary to develop an ultra-long range battery electric vehicle?",
"doi": "10.1016/j.isci.2023.106654",
"url": "https://doi.org/10.1016/j.isci.2023.106654",
"journal": "iScience",
"year": 2023,
"authors": "Liu, X.; Zhao, F.; Geng, J.; Hao, H.; Liu, Z.",
"abstract": "",
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"subcategory": "Electric Vehicles & Mobility",
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{
"title": "Data-driven multi-objective optimization for electric vehicle charging infrastructure",
"doi": "10.1016/j.isci.2023.107737",
"url": "https://doi.org/10.1016/j.isci.2023.107737",
"journal": "iScience",
"year": 2023,
"authors": "Farhadi, F.; Wang, S.; Palacin, R.; Blythe, P.",
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{
"title": "Mind the goal: Trade-offs between flexibility goals for controlled electric vehicle charging strategies",
"doi": "10.1016/j.isci.2023.105937",
"url": "https://doi.org/10.1016/j.isci.2023.105937",
"journal": "iScience",
"year": 2023,
"authors": "Gschwendtner, C.; Knoeri, C.; Stephan, A.",
"abstract": "",
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"direction_label": "Demand Response & New Mobilities & Urban Planning"
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{
"title": "Cost, energy, and carbon footprint benefits of second-life electric vehicle battery use",
"doi": "10.1016/j.isci.2023.107195",
"url": "https://doi.org/10.1016/j.isci.2023.107195",
"journal": "iScience",
"year": 2023,
"authors": "Dong, Q.; Liang, S.; Li, J.; Kim, H.; Shen, W.",
"abstract": "",
"data_url": "",
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"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "An overview of deterministic and probabilistic forecasting methods of wind energy",
"doi": "10.1016/j.isci.2022.105804",
"url": "https://doi.org/10.1016/j.isci.2022.105804",
"journal": "iScience",
"year": 2023,
"authors": "Xie, Y.; Li, C.; Li, M.; Liu, F.; Taukenova, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Insights into electron wind force by a helical dislocation reconfiguration",
"doi": "10.1016/j.isci.2023.106870",
"url": "https://doi.org/10.1016/j.isci.2023.106870",
"journal": "iScience",
"year": 2023,
"authors": "Zhou, C.; Zhan, L.; Liu, C.; Huang, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Geographical balancing of wind power decreases storage needs in a 100% renewable European power sector",
"doi": "10.1016/j.isci.2023.107074",
"url": "https://doi.org/10.1016/j.isci.2023.107074",
"journal": "iScience",
"year": 2023,
"authors": "Roth, A.; Schill, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The role of policies in reducing the cost of capital for offshore wind",
"doi": "10.1016/j.isci.2023.106945",
"url": "https://doi.org/10.1016/j.isci.2023.106945",
"journal": "iScience",
"year": 2023,
"authors": "Đukan, M.; Gumber, A.; Egli, F.; Steffen, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Small wind turbines and their potential for internet of things applications",
"doi": "10.1016/j.isci.2023.107674",
"url": "https://doi.org/10.1016/j.isci.2023.107674",
"journal": "iScience",
"year": 2023,
"authors": "Wang, H.; Xiong, B.; Zhang, Z.; Zhang, H.; Azam, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reducing energy system model distortions from unintended storage cycling through variable costs",
"doi": "10.1016/j.isci.2022.105729",
"url": "https://doi.org/10.1016/j.isci.2022.105729",
"journal": "iScience",
"year": 2023,
"authors": "Parzen, M.; Kittel, M.; Friedrich, D.; Kiprakis, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dual-edged sword of ion migration in perovskite materials for simultaneous energy harvesting and storage application",
"doi": "10.1016/j.isci.2023.108172",
"url": "https://doi.org/10.1016/j.isci.2023.108172",
"journal": "iScience",
"year": 2023,
"authors": "Kumar, R.; Bag, M.; Jain, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Accurate and scalable representation of electric vehicles in energy system models: A virtual storage-based aggregation approach",
"doi": "10.1016/j.isci.2023.107816",
"url": "https://doi.org/10.1016/j.isci.2023.107816",
"journal": "iScience",
"year": 2023,
"authors": "Muessel, J.; Ruhnau, O.; Madlener, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Spatiotemporal analysis of the future carbon footprint of solar electricity in the United States by a dynamic life cycle assessment",
"doi": "10.1016/j.isci.2023.106188",
"url": "https://doi.org/10.1016/j.isci.2023.106188",
"journal": "iScience",
"year": 2023,
"authors": "Lu, J.; Tang, J.; Shan, R.; Li, G.; Rao, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Incorporating carbon sequestration toward a water-energy-food-carbon planning with uncertainties",
"doi": "10.1016/j.isci.2023.107669",
"url": "https://doi.org/10.1016/j.isci.2023.107669",
"journal": "iScience",
"year": 2023,
"authors": "Zuo, Q.; Li, Q.; Yang, L.; Jing, R.; Ma, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The unbalanced trade-off between pollution exposure and energy consumption induced by averting behaviors",
"doi": "10.1016/j.isci.2022.105597",
"url": "https://doi.org/10.1016/j.isci.2022.105597",
"journal": "iScience",
"year": 2023,
"authors": "Li, Q.; Zhou, Y.; Pizer, W.; Wu, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Investigations on Na+, K+-ATPase energy consumption in ion flow of hydrophilic pores by THz unipolar stimulation",
"doi": "10.1016/j.isci.2023.107849",
"url": "https://doi.org/10.1016/j.isci.2023.107849",
"journal": "iScience",
"year": 2023,
"authors": "Bo, W.; Che, R.; Liu, Q.; Zhang, X.; Hou, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How to balance land demand conflicts to guarantee sustainable land development",
"doi": "10.1016/j.isci.2023.106641",
"url": "https://doi.org/10.1016/j.isci.2023.106641",
"journal": "iScience",
"year": 2023,
"authors": "Liu, H.; Soares-Filho, B.; Leite-Filho, A.; Zhang, S.; Du, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A shallow scattering layer structures the energy seascape of an open ocean predator",
"doi": "10.1126/sciadv.adi8200",
"url": "https://doi.org/10.1126/sciadv.adi8200",
"journal": "Science Advances",
"year": 2023,
"authors": "Arostegui, M.; Muhling, B.; Culhane, E.; Dewar, H.; Koch, S.",
"abstract": "Large predators frequent the open ocean where subsurface light drives visually based trophic interactions. However, we lack knowledge on how predators achieve energy balance in the unproductive open ocean where prey biomass is minimal in well-lit surface waters but high in dim midwaters in the form of scattering layers. We use an interdisciplinary approach to assess how the bioenergetics of scattering layer forays by a model predator vary across biomes. We show that the mean metabolic cost rate ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A search for new back contacts for CdTe solar cells",
"doi": "10.1126/sciadv.ade3761",
"url": "https://doi.org/10.1126/sciadv.ade3761",
"journal": "Science Advances",
"year": 2023,
"authors": "Gorai, P.; Krasikov, D.; Grover, S.; Xiong, G.; Metzger, W.",
"abstract": "\n There is widespread interest in reaching the practical efficiency of cadmium telluride (CdTe) thin-film solar cells, which suffer from open-circuit voltage loss due to high surface recombination velocity and Schottky barrier at the back contact. Here, we focus on back contacts in the superstrate configuration with the goal of finding new materials that can provide improved passivation, electron reflection, and hole transport properties compared to the commonly used material,",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Jaynes-Cummings interaction between low-energy free electrons and cavity photons",
"doi": "10.1126/sciadv.adh2425",
"url": "https://doi.org/10.1126/sciadv.adh2425",
"journal": "Science Advances",
"year": 2023,
"authors": "Karnieli, A.; Fan, S.",
"abstract": "The Jaynes-Cummings Hamiltonian is at the core of cavity quantum electrodynamics; however, it relies on bound-electron emitters fundamentally limited by the binding Coulomb potential. In this work, we propose theoretically a new approach to realizing the Jaynes-Cummings model using low-energy free electrons coupled to dielectric microcavities and exemplify several quantum technologies made possible by this approach. Using quantum recoil, a large detuning inhibits the emission of multiple consecu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nonlinear terahertz control of the lead halide perovskite lattice",
"doi": "10.1126/sciadv.adg3856",
"url": "https://doi.org/10.1126/sciadv.adg3856",
"journal": "Science Advances",
"year": 2023,
"authors": "Frenzel, M.; Cherasse, M.; Urban, J.; Wang, F.; Xiang, B.",
"abstract": "\n Lead halide perovskites (LHPs) have emerged as an excellent class of semiconductors for next-generation solar cells and optoelectronic devices. Tailoring physical properties by fine-tuning the lattice structures has been explored in these materials by chemical composition or morphology. Nevertheless, its dynamic counterpart, phonon-driven ultrafast material control, as contemporarily harnessed for oxide perovskites, has not yet been established. Here, we use intense THz electric fie",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Very high-energy gamma-ray emission beyond 10 TeV from GRB 221009A",
"doi": "10.1126/sciadv.adj2778",
"url": "https://doi.org/10.1126/sciadv.adj2778",
"journal": "Science Advances",
"year": 2023,
"authors": ", .",
"abstract": "\n The highest-energy gamma-rays from gamma-ray bursts (GRBs) have important implications for their radiation mechanism. Here we report the detection of gamma-rays up to 13 teraelectronvolts from the brightest GRB 221009A by the Large High Altitude Air-shower Observatory (LHAASO). The LHAASO-KM2A detector registered more than 140 gamma-rays with energies above 3 teraelectronvolts during 230 to 900 seconds after the trigger. The intrinsic energy spectrum of gamma-rays can be described b",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Manipulating nitration and stabilization to achieve high energy",
"doi": "10.1126/sciadv.adk3754",
"url": "https://doi.org/10.1126/sciadv.adk3754",
"journal": "Science Advances",
"year": 2023,
"authors": "Singh, J.; Staples, R.; Shreeve, J.",
"abstract": "\n Nitro groups have played a central and decisive role in the development of the most powerful known energetic materials. Highly nitrated compounds are potential oxidizing agents, which could replace the environmentally hazardous used materials such as ammonium perchlorate. The scarcity of azole compounds with a large number of nitro groups is likely due to their inherent thermal instability and the limited number of ring sites available for bond formation. Now, the formation of the f",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Machine learning for industrial processes: Forecasting amine emissions from a carbon capture plant",
"doi": "10.1126/sciadv.adc9576",
"url": "https://doi.org/10.1126/sciadv.adc9576",
"journal": "Science Advances",
"year": 2023,
"authors": "Jablonka, K.; Charalambous, C.; Sanchez Fernandez, E.; Wiechers, G.; Monteiro, J.",
"abstract": "One of the main environmental impacts of amine-based carbon capture processes is the emission of the solvent into the atmosphere. To understand how these emissions are affected by the intermittent operation of a power plant, we performed stress tests on a plant operating with a mixture of two amines, 2-amino-2-methyl-1-propanol and piperazine (CESAR1). To forecast the emissions and model the impact of interventions, we developed a machine learning model. Our model showed that some interventions ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Hydrothermal-derived black carbon as a source of recalcitrant dissolved organic carbon in the ocean",
"doi": "10.1126/sciadv.ade3807",
"url": "https://doi.org/10.1126/sciadv.ade3807",
"journal": "Science Advances",
"year": 2023,
"authors": "Yamashita, Y.; Mori, Y.; Ogawa, H.",
"abstract": "\n Deep-sea hydrothermal vents are a possible source of thermogenic dissolved black carbon (DBC), which is a component of recalcitrant dissolved organic carbon, but little is known about the distribution of hydrothermal DBC in the deep ocean. Here, we show basin-scale distributions of DBC along two transects in the eastern Pacific Ocean, which are located outside the jet-like hydrothermal plumes from the East Pacific Rise. The DBC concentration in the deep waters did not show a strong ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Marine biogenic emissions of benzene and toluene and their contribution to secondary organic aerosols over the polar oceans",
"doi": "10.1126/sciadv.add9031",
"url": "https://doi.org/10.1126/sciadv.add9031",
"journal": "Science Advances",
"year": 2023,
"authors": "Wohl, C.; Li, Q.; Cuevas, C.; Fernandez, R.; Yang, M.",
"abstract": "\n Reactive trace gas emissions from the polar oceans are poorly characterized, even though their effects on atmospheric chemistry and aerosol formation are crucial for assessing current and preindustrial aerosol forcing on climate. Here, we present seawater and atmospheric measurements of benzene and toluene, two gases typically associated with pollution, in the remote Southern Ocean and the Arctic marginal ice zone. Their distribution suggests a marine biogenic source. Calcul",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Will reshoring manufacturing of advanced electric vehicle battery support renewable energy transition and climate targets?",
"doi": "10.1126/sciadv.adg6740",
"url": "https://doi.org/10.1126/sciadv.adg6740",
"journal": "Science Advances",
"year": 2023,
"authors": "Lal, A.; You, F.",
"abstract": "Recent global logistics and geopolitical challenges draw attention to the potential raw material shortages for electric vehicle (EV) batteries. Here, we analyze the long-term energy and sustainability prospects to ensure a secure and resilient midstream and downstream value chain for the U.S. EV battery market amid uncertain market expansion and evolving battery technologies. With current battery technologies, reshoring and ally-shoring the midstream and downstream EV battery manufacturing will ",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Injectable, self-healing hydrogel adhesives with firm tissue adhesion and on-demand biodegradation for sutureless wound closure",
"doi": "10.1126/sciadv.adh4327",
"url": "https://doi.org/10.1126/sciadv.adh4327",
"journal": "Science Advances",
"year": 2023,
"authors": "Ren, H.; Zhang, Z.; Cheng, X.; Zou, Z.; Chen, X.",
"abstract": "\n Tissue adhesives have garnered extensive interest as alternatives and supplements to sutures, whereas major challenges still remain, including weak tissue adhesion, inadequate biocompatibility, and uncontrolled biodegradation. Here, injectable and biocompatible hydrogel adhesives are developed via catalyst-free\n o-\n phthalaldehyde/amine (hydrazide) cross-linking reaction. The hydrogels demonstrate rapid and firm adhesion to various tissues, and an\n o",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Swarming self-adhesive microgels enabled aneurysm on-demand embolization in physiological blood flow",
"doi": "10.1126/sciadv.adf9278",
"url": "https://doi.org/10.1126/sciadv.adf9278",
"journal": "Science Advances",
"year": 2023,
"authors": "Jin, D.; Wang, Q.; Chan, K.; Xia, N.; Yang, H.",
"abstract": "The recent rise of swarming microrobotics offers great promise in the revolution of minimally invasive embolization procedure for treating aneurysm. However, targeted embolization treatment of aneurysm using microrobots has significant challenges in the delivery capability and filling controllability. Here, we develop an interventional catheterization-integrated swarming microrobotic platform for aneurysm on-demand embolization in physiological blood flow. A pH-responsive self-healing hydrogel d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy budget diagnosis of changing climate feedback",
"doi": "10.1126/sciadv.adf9302",
"url": "https://doi.org/10.1126/sciadv.adf9302",
"journal": "Science Advances",
"year": 2023,
"authors": "Cael, B.; Bloch-Johnson, J.; Ceppi, P.; Fredriksen, H.; Goodwin, P.",
"abstract": "\n The climate feedback determines how Earth’s climate responds to anthropogenic forcing. It is thought to have been more negative in recent decades due to a sea surface temperature “pattern effect,” whereby warming is concentrated in the western tropical Pacific, where nonlocal radiative feedbacks are very negative. This phenomenon has however primarily been studied within climate models. We diagnose a pattern effect from historical records as an evolution of the climate feedback over",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid-based methods for chemistry simulations on a quantum computer",
"doi": "10.1126/sciadv.abo7484",
"url": "https://doi.org/10.1126/sciadv.abo7484",
"journal": "Science Advances",
"year": 2023,
"authors": "Chan, H.; Meister, R.; Jones, T.; Tew, D.; Benjamin, S.",
"abstract": "First-quantized, grid-based methods for chemistry modeling are a natural and elegant fit for quantum computers. However, it is infeasible to use today’s quantum prototypes to explore the power of this approach because it requires a substantial number of near-perfect qubits. Here, we use exactly emulated quantum computers with up to 36 qubits to execute deep yet resource-frugal algorithms that model 2D and 3D atoms with single and paired particles. A range of tasks is explored, from ground state ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Solar-powered simultaneous highly efficient seawater desalination and highly specific target extraction with smart DNA hydrogels",
"doi": "10.1126/sciadv.adj1677",
"url": "https://doi.org/10.1126/sciadv.adj1677",
"journal": "Science Advances",
"year": 2023,
"authors": "Liang, H.; Mu, Y.; Yin, M.; He, P.; Guo, W.",
"abstract": "Obtaining freshwater and important minerals from seawater with solar power facilitates the sustainable development of human society. Hydrogels have demonstrated great solar-powered water evaporation potential, but highly efficient and specific target extraction remains to be expanded. Here, we report the simultaneous highly efficient seawater desalination and specific extraction of uranium with smart DNA hydrogels. The DNA hydrogel greatly promoted the evaporation of water, with the water evapor",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Light-stimulated micromotor swarms in an electric field with accurate spatial, temporal, and mode control",
"doi": "10.1126/sciadv.adi9932",
"url": "https://doi.org/10.1126/sciadv.adi9932",
"journal": "Science Advances",
"year": 2023,
"authors": "Liang, Z.; Joh, H.; Lian, B.; Fan, D.",
"abstract": "Swarming, a phenomenon widely present in nature, is a hallmark of nonequilibrium living systems that harness external energy into collective locomotion. The creation and study of manmade swarms may provide insights into their biological counterparts and shed light to the rules of life. Here, we propose an innovative mechanism for rationally creating multimodal swarms with unprecedented spatial, temporal, and mode control. The research is realized in a system made of optoelectric semiconductor na",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A flexoelectricity-enabled ultrahigh piezoelectric effect of a polymeric composite foam as a strain-gradient electric generator",
"doi": "10.1126/sciadv.adc8845",
"url": "https://doi.org/10.1126/sciadv.adc8845",
"journal": "Science Advances",
"year": 2023,
"authors": "Yan, D.; Wang, J.; Xiang, J.; Xing, Y.; Shao, L.",
"abstract": "All dielectric materials including ceramics, semiconductors, biomaterials, and polymers have the property of flexoelectricity, which opens a fertile avenue to sensing, actuation, and energy harvesting by a broad range of materials. However, the flexoelectricity of solids is weak at the macroscale. Here, we achieve an ultrahigh flexoelectric effect via a composite foam based on PDMS and CCTO nanoparticles. The mass- and deformability-specific flexoelectricity of the foam exceeds 10,000 times that",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electric field–dependent phonon spectrum and heat conduction in ferroelectrics",
"doi": "10.1126/sciadv.add7194",
"url": "https://doi.org/10.1126/sciadv.add7194",
"journal": "Science Advances",
"year": 2023,
"authors": "Wooten, B.; Iguchi, R.; Tang, P.; Kang, J.; Uchida, K.",
"abstract": "\n This article shows experimentally that an external electric field affects the velocity of the longitudinal acoustic phonons (\n v\n LA\n ), thermal conductivity (κ), and diffusivity (\n D\n ) in a bulk lead zirconium titanate–based ferroelectric. Phonon conduction dominates κ, and the observations are due to changes in the phonon dispersion, not in the phonon scattering. This gives insight into the nature of the thermal fluctuations ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Toward highly effective loading of DNA in hydrogels for high-density and long-term information storage",
"doi": "10.1126/sciadv.adg9933",
"url": "https://doi.org/10.1126/sciadv.adg9933",
"journal": "Science Advances",
"year": 2023,
"authors": "Fei, Z.; Gupta, N.; Li, M.; Xiao, P.; Hu, X.",
"abstract": "\n Digital information, when converted into a DNA sequence, provides dense, stable, energy-efficient, and sustainable data storage. The most stable method for encapsulating DNA has been in an inorganic matrix of silica, iron oxide, or both, but are limited by low DNA uptake and complex recovery techniques. This study investigated a rationally designed thermally responsive functionally graded (TRFG) hydrogel as a simple and cost-effective method for storing DNA. The TRFG hydrogel shows ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Organic carbon generation in 3.5-billion-year-old basalt-hosted seafloor hydrothermal vent systems",
"doi": "10.1126/sciadv.add7925",
"url": "https://doi.org/10.1126/sciadv.add7925",
"journal": "Science Advances",
"year": 2023,
"authors": "Rasmussen, B.; Muhling, J.",
"abstract": "Carbon is the key element of life, and its origin in ancient sedimentary rocks is central to questions about the emergence and early evolution of life. The oldest well-preserved carbon occurs with fossil-like structures in 3.5-billion-year-old black chert. The carbonaceous matter, which is associated with hydrothermal chert-barite vent systems originating in underlying basaltic-komatiitic lavas, is thought to be derived from microbial life. Here, we show that 3.5-billion-year-old black chert vei",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power",
"doi": "10.1038/s41597-022-01786-5",
"url": "https://doi.org/10.1038/s41597-022-01786-5",
"journal": "Scientific Data",
"year": 2022,
"authors": "Sterl, S.; Hussain, B.; Miketa, A.; Li, Y.; Merven, B.",
"abstract": "AbstractWith solar and wind power generation reaching unprecedented growth rates globally, much research effort has recently gone into a comprehensive mapping of the worldwide potential of these variable renewable electricity (VRE) sources. From a perspective of energy systems analysis, the locations with the strongest resources may not necessarily be the best candidates for investment in new power plants, since the distance from existing grid and road infrastructures and the temporal variabilit",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms",
"doi": "10.1038/s41597-022-01520-1",
"url": "https://doi.org/10.1038/s41597-022-01520-1",
"journal": "Scientific Data",
"year": 2022,
"authors": "Chen, X.; Huang, Y.; Nie, C.; Zhang, S.; Wang, G.",
"abstract": "AbstractPhotosynthesis is a key process linking carbon and water cycles, and satellite-retrieved solar-induced chlorophyll fluorescence (SIF) can be a valuable proxy for photosynthesis. The TROPOspheric Monitoring Instrument (TROPOMI) on the Copernicus Sentinel-5P mission enables significant improvements in providing high spatial and temporal resolution SIF observations, but the short temporal coverage of the data records has limited its applications in long-term studies. This study uses machine",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "An Artificial Intelligence Dataset for Solar Energy Locations in India",
"doi": "10.1038/s41597-022-01499-9",
"url": "https://doi.org/10.1038/s41597-022-01499-9",
"journal": "Scientific Data",
"year": 2022,
"authors": "Ortiz, A.; Negandhi, D.; Mysorekar, S.; Nagaraju, S.; Kiesecker, J.",
"abstract": "AbstractRapid development of renewable energy sources, particularly solar photovoltaics (PV), is critical to mitigate climate change. As a result, India has set ambitious goals to install 500 gigawatts of solar energy capacity by 2030. Given the large footprint projected to meet renewables energy targets, the potential for land use conflicts over environmental values is high. To expedite development of solar energy, land use planners will need access to up-to-date and accurate geo-spatial inform",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A three-year dataset supporting research on building energy management and occupancy analytics",
"doi": "10.1038/s41597-022-01257-x",
"url": "https://doi.org/10.1038/s41597-022-01257-x",
"journal": "Scientific Data",
"year": 2022,
"authors": "Luo, N.; Wang, Z.; Blum, D.; Weyandt, C.; Bourassa, N.",
"abstract": "AbstractThis paper presents the curation of a monitored dataset from an office building constructed in 2015 in Berkeley, California. The dataset includes whole-building and end-use energy consumption, HVAC system operating conditions, indoor and outdoor environmental parameters, as well as occupant counts. The data were collected during a period of three years from more than 300 sensors and meters on two office floors (each 2,325 m2) of the building. A three-step data curation strategy is applie",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A high spatial resolution dataset for anthropogenic atmospheric mercury emissions in China during 1998–2014",
"doi": "10.1038/s41597-022-01725-4",
"url": "https://doi.org/10.1038/s41597-022-01725-4",
"journal": "Scientific Data",
"year": 2022,
"authors": "Chang, W.; Zhong, Q.; Liang, S.; Qi, J.; Jetashree, .",
"abstract": "AbstractChina is the largest atmospheric mercury (Hg) emitter globally, which has been substantially investigated. However, the estimation of national or regional Hg emissions in China is insufficient in supporting emission control, as the location of the sources may have significant impacts on the effects of Hg emissions. In this concern, high-spatial-resolution datasets of China’s Hg emissions are necessary for in-depth and accurate Hg-related studies and policymaking. Existing gridded dataset",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Solar and wind power data from the Chinese State Grid Renewable Energy Generation Forecasting Competition",
"doi": "10.1038/s41597-022-01696-6",
"url": "https://doi.org/10.1038/s41597-022-01696-6",
"journal": "Scientific Data",
"year": 2022,
"authors": "Chen, Y.; Xu, J.",
"abstract": "AbstractAccurate solar and wind generation forecasting along with high renewable energy penetration in power grids throughout the world are crucial to the days-ahead power scheduling of energy systems. It is difficult to precisely forecast on-site power generation due to the intermittency and fluctuation characteristics of solar and wind energy. Solar and wind generation data from on-site sources are beneficial for the development of data-driven forecasting models. In this paper, an open dataset",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "U.S. national water and energy land dataset for integrated multisector dynamics research",
"doi": "10.1038/s41597-022-01290-w",
"url": "https://doi.org/10.1038/s41597-022-01290-w",
"journal": "Scientific Data",
"year": 2022,
"authors": "Sturtevant, J.; McManamay, R.; DeRolph, C.",
"abstract": "AbstractUnderstanding resource demands and tradeoffs among energy, water, and land socioeconomic sectors requires an explicit consideration of spatial scale. However, incorporation of land dynamics within the energy-water nexus has been limited due inconsistent spatial units of observation from disparate data sources. Herein we describe the development of a National Water and Energy Land Dataset (NWELD) for the conterminous United States. NWELD is a 30-m, 86-layer rasterized dataset depicting th",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices",
"doi": "10.1038/s41597-022-01643-5",
"url": "https://doi.org/10.1038/s41597-022-01643-5",
"journal": "Scientific Data",
"year": 2022,
"authors": "Gashi, S.; Min, C.; Montanari, A.; Santini, S.; Kawsar, F.",
"abstract": "AbstractWe present a multi-device and multi-modal dataset, called WEEE, collected from 17 participants while they were performing different physical activities. WEEE contains: (1) sensor data collected using seven wearable devices placed on four body locations (head, ear, chest, and wrist); (2) respiratory data collected with an indirect calorimeter serving as ground-truth information; (3) demographics and body composition data (e.g., fat percentage); (4) intensity level and type of physical act",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Datasets on South Korean manufacturing factories’ electricity consumption and demand response participation",
"doi": "10.1038/s41597-022-01357-8",
"url": "https://doi.org/10.1038/s41597-022-01357-8",
"journal": "Scientific Data",
"year": 2022,
"authors": "Lee, E.; Baek, K.; Kim, J.",
"abstract": "AbstractThis study describes the release of electricity consumption data of some manufacturing factories located in South Korea that participate in the demand response (DR) market. The data (in kilowatt) comprise individual factories’ total power usage details that were acquired using advanced metering infrastructures. They further contain details on the manufacture types, DR participation dates, mandatory reduction capacities, and response capacities of the factories. For data acquisition, 10 m",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "ECD-UY, detailed household electricity consumption dataset of Uruguay",
"doi": "10.1038/s41597-022-01122-x",
"url": "https://doi.org/10.1038/s41597-022-01122-x",
"journal": "Scientific Data",
"year": 2022,
"authors": "Chavat, J.; Nesmachnow, S.; Graneri, J.; Alvez, G.",
"abstract": "AbstractThis article introduces a dataset containing electricity consumption records of residential households in Uruguay (mostly in Montevideo). The dataset is conceived to analyze customer behavior and detect patterns of energy consumption that can help to improve the service. The dataset is conformed by three subsets that cover total household consumption, electric water heater consumption, and by-appliance electricity consumption, with sample intervals from one to fifteen minutes. The dateti",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A residential labeled dataset for smart meter data analytics",
"doi": "10.1038/s41597-022-01252-2",
"url": "https://doi.org/10.1038/s41597-022-01252-2",
"journal": "Scientific Data",
"year": 2022,
"authors": "Pereira, L.; Costa, D.; Ribeiro, M.",
"abstract": "AbstractSmart meter data is a cornerstone for the realization of next-generation electrical power grids by enabling the creation of novel energy data-based services like providing recommendations on how to save energy or predictive maintenance of electric appliances. Most of these services are developed on top of advanced machine-learning algorithms, which rely heavily on datasets for training, testing, and validation purposes. A limitation of most existing datasets, however, is the scarcity of ",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Smart Home & EMS",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Large-scale audio dataset for emergency vehicle sirens and road noises",
"doi": "10.1038/s41597-022-01727-2",
"url": "https://doi.org/10.1038/s41597-022-01727-2",
"journal": "Scientific Data",
"year": 2022,
"authors": "Asif, M.; Usaid, M.; Rashid, M.; Rajab, T.; Hussain, S.",
"abstract": "AbstractTraffic congestion, accidents, and pollution are becoming a challenge for researchers. It is essential to develop new ideas to solve these problems, either by improving the infrastructure or applying the latest technology to use the existing infrastructure better. This research paper presents a high-resolution dataset that will help the research community to apply AI techniques to classify any emergency vehicle from traffic and road noises. Demand for such datasets is high as they can co",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas",
"doi": "10.1038/s41597-022-01451-x",
"url": "https://doi.org/10.1038/s41597-022-01451-x",
"journal": "Scientific Data",
"year": 2022,
"authors": "Solbrekke, I.; Sorteberg, A.",
"abstract": "AbstractWe present a new high resolution wind resource and wind power dataset named NORA3-WP. The dataset covers the North Sea, the Baltic Sea and parts of the Norwegian and Barents Seas. The 3-km Norwegian reanalysis (NORA3) forms the basis for the new dataset. NORA3-WP is an open access dataset intended for use in research, governmental management and for stakeholders to attain relevant wind resource and wind power information in the planning phase of a new wind farm project. The variables are",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy audit and carbon footprint in trawl fisheries",
"doi": "10.1038/s41597-022-01478-0",
"url": "https://doi.org/10.1038/s41597-022-01478-0",
"journal": "Scientific Data",
"year": 2022,
"authors": "Sala, A.; Damalas, D.; Labanchi, L.; Martinsohn, J.; Moro, F.",
"abstract": "AbstractThe combustion of fossil fuels is considered a major cause of climate change, which is why the reduction of emissions has become a key goal of the Paris climate agreement. Coherent monitoring of the energy profile of fishing vessels through an energy audit can effectively identify sources of inefficiency, allowing for the deployment of well-informed and cost-efficient remedial interventions. We applied energy audits to a test fleet of ten vessels, representing three typical Mediterranean",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Framing renewable energy",
"doi": "10.1038/s41560-022-01100-y",
"url": "https://doi.org/10.1038/s41560-022-01100-y",
"journal": "Nature Energy",
"year": 2022,
"authors": "Bolsen, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Designing effective energy information",
"doi": "10.1038/s41560-022-01010-z",
"url": "https://doi.org/10.1038/s41560-022-01010-z",
"journal": "Nature Energy",
"year": 2022,
"authors": "Boogen, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Outdoor performance evaluation of a 2D materials-based perovskite solar farm",
"doi": "10.1038/s41560-022-01037-2",
"url": "https://doi.org/10.1038/s41560-022-01037-2",
"journal": "Nature Energy",
"year": 2022,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Author Correction: Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households",
"doi": "10.1038/s41560-022-01026-5",
"url": "https://doi.org/10.1038/s41560-022-01026-5",
"journal": "Nature Energy",
"year": 2022,
"authors": "Yu, B.; Wei, Y.; Gomi, K.; Matsuoka, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Attributing agnostically detected large reductions in road CO2 emissions to policy mixes",
"doi": "10.1038/s41560-022-01095-6",
"url": "https://doi.org/10.1038/s41560-022-01095-6",
"journal": "Nature Energy",
"year": 2022,
"authors": "Koch, N.; Naumann, L.; Pretis, F.; Ritter, N.; Schwarz, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Historical red-lining is associated with fossil fuel power plant siting and present-day inequalities in air pollutant emissions",
"doi": "10.1038/s41560-022-01162-y",
"url": "https://doi.org/10.1038/s41560-022-01162-y",
"journal": "Nature Energy",
"year": 2022,
"authors": "Cushing, L.; Li, S.; Steiger, B.; Casey, J.",
"abstract": "AbstractStationary sources of air pollution are disproportionately located in communities of colour, but the causes for this disparity are unclear. Here we assess whether racialized appraisals of investment risk (‘red-lining’) undertaken by the US federal Home Owners’ Loan Corporation in the 1930s influenced the subsequent siting of fossil fuel power plants. Across 8,871 neighbourhoods in 196 US urban areas, we observed a stepwise correlation between risk grade, number of power plants and cumula",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Aligned for renewable power",
"doi": "10.1038/s41560-022-00996-w",
"url": "https://doi.org/10.1038/s41560-022-00996-w",
"journal": "Nature Energy",
"year": 2022,
"authors": "Jannasch, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nuclear power and renewable energy are both associated with national decarbonization",
"doi": "10.1038/s41560-021-00964-w",
"url": "https://doi.org/10.1038/s41560-021-00964-w",
"journal": "Nature Energy",
"year": 2022,
"authors": "Fell, H.; Gilbert, A.; Jenkins, J.; Mildenberger, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reply to: Nuclear power and renewable energy are both associated with national decarbonization",
"doi": "10.1038/s41560-021-00965-9",
"url": "https://doi.org/10.1038/s41560-021-00965-9",
"journal": "Nature Energy",
"year": 2022,
"authors": "Sovacool, B.; Schmid, P.; Stirling, A.; Walter, G.; MacKerron, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The durable, bipartisan effects of emphasizing the cost savings of renewable energy",
"doi": "10.1038/s41560-022-01099-2",
"url": "https://doi.org/10.1038/s41560-022-01099-2",
"journal": "Nature Energy",
"year": 2022,
"authors": "Gustafson, A.; Goldberg, M.; Bergquist, P.; Lacroix, K.; Rosenthal, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Techno-economic analysis of renewable fuels for ships carrying bulk cargo in Europe",
"doi": "10.1038/s41560-021-00957-9",
"url": "https://doi.org/10.1038/s41560-021-00957-9",
"journal": "Nature Energy",
"year": 2022,
"authors": "Stolz, B.; Held, M.; Georges, G.; Boulouchos, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Implications of intercontinental renewable electricity trade for energy systems and emissions",
"doi": "10.1038/s41560-022-01136-0",
"url": "https://doi.org/10.1038/s41560-022-01136-0",
"journal": "Nature Energy",
"year": 2022,
"authors": "Guo, F.; van Ruijven, B.; Zakeri, B.; Zhang, S.; Chen, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "High-performing organic electronics using terpene green solvents from renewable feedstocks",
"doi": "10.1038/s41560-022-01167-7",
"url": "https://doi.org/10.1038/s41560-022-01167-7",
"journal": "Nature Energy",
"year": 2022,
"authors": "Corzo, D.; Rosas-Villalva, D.; C, A.; Tostado-Blázquez, G.; Alexandre, E.",
"abstract": "AbstractAccelerating the shift towards renewable materials and sustainable processes for printed organic electronic devices is crucial for a green circular economy. Currently, the fabrication of organic devices with competitive performances is linked to toxic petrochemical-based solvents with considerable carbon emissions. Here we show that terpene solvents obtained from renewable feedstocks can replace non-renewable environmentally hazardous solvent counterparts in the production of highly effi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Impact of declining renewable energy costs on electrification in low-emission scenarios",
"doi": "10.1038/s41560-022-01000-1",
"url": "https://doi.org/10.1038/s41560-022-01000-1",
"journal": "Nature Energy",
"year": 2022,
"authors": "Luderer, G.; Madeddu, S.; Merfort, L.; Ueckerdt, F.; Pehl, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Integrated hydrological, power system and economic modelling of climate impacts on electricity demand and cost",
"doi": "10.1038/s41560-021-00958-8",
"url": "https://doi.org/10.1038/s41560-021-00958-8",
"journal": "Nature Energy",
"year": 2022,
"authors": "Webster, M.; Fisher-Vanden, K.; Kumar, V.; Lammers, R.; Perla, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Better models of electricity access finance",
"doi": "10.1038/s41560-022-01063-0",
"url": "https://doi.org/10.1038/s41560-022-01063-0",
"journal": "Nature Energy",
"year": 2022,
"authors": "Lee, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "High temperatures and electricity disconnections for low-income homes in California",
"doi": "10.1038/s41560-022-01134-2",
"url": "https://doi.org/10.1038/s41560-022-01134-2",
"journal": "Nature Energy",
"year": 2022,
"authors": "Barreca, A.; Park, R.; Stainier, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Planning sustainable electricity solutions for refugee settlements in sub-Saharan Africa",
"doi": "10.1038/s41560-022-01006-9",
"url": "https://doi.org/10.1038/s41560-022-01006-9",
"journal": "Nature Energy",
"year": 2022,
"authors": "Baldi, D.; Moner-Girona, M.; Fumagalli, E.; Fahl, F.",
"abstract": "AbstractAn inadequate understanding of the energy needs of forcibly displaced populations is one of the main obstacles in providing sustainable and reliable energy to refugees and their host communities. Here, we provide a first-order assessment of the main factors determining the decision to deploy fully renewable mini-grids in almost 300 refugee settlements in sub-Saharan Africa. Using an energy assessment survey and publicly available traditional and earth observation data, we estimate a tota",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Assessing Californians’ awareness of their daily electricity use patterns",
"doi": "10.1038/s41560-022-01156-w",
"url": "https://doi.org/10.1038/s41560-022-01156-w",
"journal": "Nature Energy",
"year": 2022,
"authors": "Zanocco, C.; Sun, T.; Stelmach, G.; Flora, J.; Rajagopal, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Stylized least-cost analysis of flexible nuclear power in deeply decarbonized electricity systems considering wind and solar resources worldwide",
"doi": "10.1038/s41560-022-00979-x",
"url": "https://doi.org/10.1038/s41560-022-00979-x",
"journal": "Nature Energy",
"year": 2022,
"authors": "Duan, L.; Petroski, R.; Wood, L.; Caldeira, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Realist approaches in energy research to support faster and fairer climate action",
"doi": "10.1038/s41560-022-01093-8",
"url": "https://doi.org/10.1038/s41560-022-01093-8",
"journal": "Nature Energy",
"year": 2022,
"authors": "Fell, M.; Roelich, K.; Middlemiss, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor",
"doi": "10.1038/s41560-022-01056-z",
"url": "https://doi.org/10.1038/s41560-022-01056-z",
"journal": "Nature Energy",
"year": 2022,
"authors": "Jung, C.; Schindler, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The effect of climate risks on the interactions between financial markets and energy companies",
"doi": "10.1038/s41560-022-01070-1",
"url": "https://doi.org/10.1038/s41560-022-01070-1",
"journal": "Nature Energy",
"year": 2022,
"authors": "van Benthem, A.; Crooks, E.; Giglio, S.; Schwob, E.; Stroebel, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption",
"doi": "10.1038/s41560-022-01105-7",
"url": "https://doi.org/10.1038/s41560-022-01105-7",
"journal": "Nature Energy",
"year": 2022,
"authors": "Powell, S.; Cezar, G.; Min, L.; Azevedo, I.; Rajagopal, R.",
"abstract": "AbstractElectric vehicles will contribute to emissions reductions in the United States, but their charging may challenge electricity grid operations. We present a data-driven, realistic model of charging demand that captures the diverse charging behaviours of future adopters in the US Western Interconnection. We study charging control and infrastructure build-out as critical factors shaping charging load and evaluate grid impact under rapid electric vehicle adoption with a detailed economic disp",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Towards a repair research agenda for off-grid solar e-waste in the Global South",
"doi": "10.1038/s41560-022-01103-9",
"url": "https://doi.org/10.1038/s41560-022-01103-9",
"journal": "Nature Energy",
"year": 2022,
"authors": "Munro, P.; Samarakoon, S.; Hansen, U.; Kearnes, M.; Bruce, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Rapid battery cost declines accelerate the prospects of all-electric interregional container shipping",
"doi": "10.1038/s41560-022-01065-y",
"url": "https://doi.org/10.1038/s41560-022-01065-y",
"journal": "Nature Energy",
"year": 2022,
"authors": "Kersey, J.; Popovich, N.; Phadke, A.",
"abstract": "AbstractInternational maritime shipping—powered by heavy fuel oil—is a major contributor to global CO2, SO2, and NOx emissions. The direct electrification of maritime vessels has been underexplored as a low-emission option despite its considerable efficiency advantage over electrofuels. Past studies on ship electrification have relied on outdated assumptions on battery cost, energy density values and available on-board space. We show that at battery prices of US$100 kWh−1 the electrification of ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Operating wind farm turbines collectively increases total energy production",
"doi": "10.1038/s41560-022-01094-7",
"url": "https://doi.org/10.1038/s41560-022-01094-7",
"journal": "Nature Energy",
"year": 2022,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Anticipating and defusing the role of conspiracy beliefs in shaping opposition to wind farms",
"doi": "10.1038/s41560-022-01164-w",
"url": "https://doi.org/10.1038/s41560-022-01164-w",
"journal": "Nature Energy",
"year": 2022,
"authors": "Winter, K.; Hornsey, M.; Pummerer, L.; Sassenberg, K.",
"abstract": "AbstractReaching net-zero targets requires massive increases in wind energy production, but efforts to build wind farms can meet stern local opposition. Here, inspired by related work on vaccinations, we examine whether opposition to wind farms is associated with a world view that conspiracies are common (‘conspiracy mentality’). In eight pre-registered studies (collectiveN = 4,170), we found moderate-to-large relationships between various indices of conspiracy beliefs and wind farm opposition. ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Collective wind farm operation based on a predictive model increases utility-scale energy production",
"doi": "10.1038/s41560-022-01085-8",
"url": "https://doi.org/10.1038/s41560-022-01085-8",
"journal": "Nature Energy",
"year": 2022,
"authors": "Howland, M.; Quesada, J.; Martínez, J.; Larrañaga, F.; Yadav, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Continuous transition from double-layer to Faradaic charge storage in confined electrolytes",
"doi": "10.1038/s41560-022-00993-z",
"url": "https://doi.org/10.1038/s41560-022-00993-z",
"journal": "Nature Energy",
"year": 2022,
"authors": "Fleischmann, S.; Zhang, Y.; Wang, X.; Cummings, P.; Wu, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Anticipating customer-centred zero-carbon energy business models",
"doi": "10.1038/s41560-022-01003-y",
"url": "https://doi.org/10.1038/s41560-022-01003-y",
"journal": "Nature Energy",
"year": 2022,
"authors": "Hardy, J.; Sandys, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Understanding India’s low-carbon energy technology startup landscape",
"doi": "10.1038/s41560-022-01170-y",
"url": "https://doi.org/10.1038/s41560-022-01170-y",
"journal": "Nature Energy",
"year": 2022,
"authors": "Krishna, H.; Kashyap, Y.; Dutt, D.; Sagar, A.; Malhotra, A.",
"abstract": "AbstractLow-carbon energy technology (LCET) startups could play a key role in accelerating India’s decarbonization. Yet, our understanding of the LCET startup landscape and what shapes it remains low. Here we provide an analysis of the Indian LCET startup landscape to fill this gap. Our descriptive analysis of quantitative data on investment and patenting activities of LCET startups from 2010 to 2020 and qualitative data from 25 semi-structured interviews shows a substantial increase in investme",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Redox-tunable Lewis bases for electrochemical carbon dioxide capture",
"doi": "10.1038/s41560-022-01137-z",
"url": "https://doi.org/10.1038/s41560-022-01137-z",
"journal": "Nature Energy",
"year": 2022,
"authors": "Li, X.; Zhao, X.; Liu, Y.; Hatton, T.; Liu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy demand reduction options for meeting national zero-emission targets in the United Kingdom",
"doi": "10.1038/s41560-022-01057-y",
"url": "https://doi.org/10.1038/s41560-022-01057-y",
"journal": "Nature Energy",
"year": 2022,
"authors": "Barrett, J.; Pye, S.; Betts-Davies, S.; Broad, O.; Price, J.",
"abstract": "AbstractIn recent years, global studies have attempted to understand the contribution that energy demand reduction could make to climate mitigation efforts. Here we develop a bottom-up, whole-system framework that comprehensively estimates the potential for energy demand reduction at a country level. Replicable for other countries, our framework is applied to the case of the United Kingdom where we find that reductions in energy demand of 52% by 2050 compared with 2020 levels are possible withou",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Green energy financing",
"doi": "10.1038/s41893-022-00972-y",
"url": "https://doi.org/10.1038/s41893-022-00972-y",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Palmer, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Harnessing infrared solar energy with plasmonic energy upconversion",
"doi": "10.1038/s41893-022-00975-9",
"url": "https://doi.org/10.1038/s41893-022-00975-9",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Lian, Z.; Kobayashi, Y.; Vequizo, J.; Ranasinghe, C.; Yamakata, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Publisher Correction: Harnessing infrared solar energy with plasmonic energy upconversion",
"doi": "10.1038/s41893-022-01015-2",
"url": "https://doi.org/10.1038/s41893-022-01015-2",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Lian, Z.; Kobayashi, Y.; Vequizo, J.; Ranasinghe, C.; Yamakata, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A responsible energy transition",
"doi": "10.1038/s41893-022-01007-2",
"url": "https://doi.org/10.1038/s41893-022-01007-2",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Garnett, S.; Zander, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Solar power challenges",
"doi": "10.1038/s41893-021-00845-w",
"url": "https://doi.org/10.1038/s41893-021-00845-w",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Laing, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Best practices for solar water production technologies",
"doi": "10.1038/s41893-022-00880-1",
"url": "https://doi.org/10.1038/s41893-022-00880-1",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Zhang, Y.; Tan, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Technology assessment of solar disinfection for drinking water treatment",
"doi": "10.1038/s41893-022-00915-7",
"url": "https://doi.org/10.1038/s41893-022-00915-7",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Jeon, I.; Ryberg, E.; Alvarez, P.; Kim, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Impacts of poverty alleviation on national and global carbon emissions",
"doi": "10.1038/s41893-021-00842-z",
"url": "https://doi.org/10.1038/s41893-021-00842-z",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Bruckner, B.; Hubacek, K.; Shan, Y.; Zhong, H.; Feng, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grocery shop emissions",
"doi": "10.1038/s41893-022-00959-9",
"url": "https://doi.org/10.1038/s41893-022-00959-9",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Kelsey, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Gross polluters and vehicle emissions reduction",
"doi": "10.1038/s41893-022-00903-x",
"url": "https://doi.org/10.1038/s41893-022-00903-x",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Böhm, M.; Nanni, M.; Pappalardo, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Re-thinking procurement incentives for electric vehicles to achieve net-zero emissions",
"doi": "10.1038/s41893-022-00862-3",
"url": "https://doi.org/10.1038/s41893-022-00862-3",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Nunes, A.; Woodley, L.; Rossetti, P.",
"abstract": "AbstractProcurement incentives are a widely leveraged policy lever to stimulate electric vehicle (EV) sales. However, their effectiveness in reducing transportation emissions depends on the behavioural characteristics of EV adopters. When an EV is used, under what conditions and by whom dictates whether or not these vehicles can deliver emissions reductions. Here, we document that replacing gasoline powered vehicles with EVs may—depending on behavioural characteristics—increase, not decrease, em",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The aluminium demand risk of terawatt photovoltaics for net zero emissions by 2050",
"doi": "10.1038/s41893-021-00838-9",
"url": "https://doi.org/10.1038/s41893-021-00838-9",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Lennon, A.; Lunardi, M.; Hallam, B.; Dias, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Randomized national land management strategies for net-zero emissions",
"doi": "10.1038/s41893-022-00946-0",
"url": "https://doi.org/10.1038/s41893-022-00946-0",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Duffy, C.; Prudhomme, R.; Duffy, B.; Gibbons, J.; Iannetta, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Polymeric membranes with aligned zeolite nanosheets for sustainable energy storage",
"doi": "10.1038/s41893-022-00974-w",
"url": "https://doi.org/10.1038/s41893-022-00974-w",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Xia, Y.; Cao, H.; Xu, F.; Chen, Y.; Xia, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Highly unequal carbon footprints",
"doi": "10.1038/s41893-022-00939-z",
"url": "https://doi.org/10.1038/s41893-022-00939-z",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Sager, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon-efficient carbon dioxide electrolysers",
"doi": "10.1038/s41893-022-00879-8",
"url": "https://doi.org/10.1038/s41893-022-00879-8",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Ozden, A.; García de Arquer, F.; Huang, J.; Wicks, J.; Sisler, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global carbon inequality over 1990–2019",
"doi": "10.1038/s41893-022-00955-z",
"url": "https://doi.org/10.1038/s41893-022-00955-z",
"journal": "Nature Sustainability",
"year": 2022,
"authors": "Chancel, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Earthquake breakdown energy scaling despite constant fracture energy",
"doi": "10.1038/s41467-022-28647-4",
"url": "https://doi.org/10.1038/s41467-022-28647-4",
"journal": "Nature Communications",
"year": 2022,
"authors": "Ke, C.; McLaskey, G.; Kammer, D.",
"abstract": "AbstractIn the quest to determine fault weakening processes that govern earthquake mechanics, it is common to infer the earthquake breakdown energy from seismological measurements. Breakdown energy is observed to scale with slip, which is often attributed to enhanced fault weakening with continued slip or at high slip rates, possibly caused by flash heating and thermal pressurization. However, seismologically inferred breakdown energy varies by more than six orders of magnitude and is frequently",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy requirements and carbon emissions for a low-carbon energy transition",
"doi": "10.1038/s41467-022-33976-5",
"url": "https://doi.org/10.1038/s41467-022-33976-5",
"journal": "Nature Communications",
"year": 2022,
"authors": "Slameršak, A.; Kallis, G.; O’Neill, D.",
"abstract": "AbstractAchieving the Paris Agreement will require massive deployment of low-carbon energy. However, constructing, operating, and maintaining a low-carbon energy system will itself require energy, with much of it derived from fossil fuels. This raises the concern that the transition may consume much of the energy available to society, and be a source of considerable emissions. Here we calculate the energy requirements and emissions associated with the global energy system in fourteen mitigation ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Unveiling hidden energy poverty using the energy equity gap",
"doi": "10.1038/s41467-022-30146-5",
"url": "https://doi.org/10.1038/s41467-022-30146-5",
"journal": "Nature Communications",
"year": 2022,
"authors": "Cong, S.; Nock, D.; Qiu, Y.; Xing, B.",
"abstract": "Abstract\n \n Income-based energy poverty metrics ignore people’s behavior patterns, particularly reducing energy consumption to limit financial stress. We investigate energy-limiting behavior in low-income households using a residential electricity consumption dataset. We first determine the outdoor temperature at which households start using cooling systems, the inflection temperature. Our relative energy poverty metric, the\n energy equity g",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Temperature-dependent dual-mode thermal management device with net zero energy for year-round energy saving",
"doi": "10.1038/s41467-022-32528-1",
"url": "https://doi.org/10.1038/s41467-022-32528-1",
"journal": "Nature Communications",
"year": 2022,
"authors": "Zhang, Q.; Lv, Y.; Wang, Y.; Yu, S.; Li, C.",
"abstract": "AbstractReducing needs for heating and cooling from fossil energy is one of the biggest challenges, which demand accounts for almost half of global energy consumption, consequently resulting in complicated climatic and environmental issues. Herein, we demonstrate a high-performance, intelligently auto-switched and zero-energy dual-mode radiative thermal management device. By perceiving temperature to spontaneously modulate electromagnetic characteristics itself, the device achieves ~859.8 W m−2 ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Giant bulk photovoltaic effect driven by the wall-to-wall charge shift in WS2 nanotubes",
"doi": "10.1038/s41467-022-31018-8",
"url": "https://doi.org/10.1038/s41467-022-31018-8",
"journal": "Nature Communications",
"year": 2022,
"authors": "Kim, B.; Park, N.; Kim, J.",
"abstract": "AbstractThe intrinsic light–matter characteristics of transition-metal dichalcogenides have not only been of great scientific interest but have also provided novel opportunities for the development of advanced optoelectronic devices. Among the family of transition-metal dichalcogenide structures, the one-dimensional nanotube is particularly attractive because it produces a spontaneous photocurrent that is prohibited in its higher-dimensional counterparts. Here, we show that WS2 nanotubes exhibit",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Cosmogenic radionuclides reveal an extreme solar particle storm near a solar minimum 9125 years BP",
"doi": "10.1038/s41467-021-27891-4",
"url": "https://doi.org/10.1038/s41467-021-27891-4",
"journal": "Nature Communications",
"year": 2022,
"authors": "Paleari, C.; Mekhaldi, F.; Adolphi, F.; Christl, M.; Vockenhuber, C.",
"abstract": "AbstractDuring solar storms, the Sun expels large amounts of energetic particles (SEP) that can react with the Earth’s atmospheric constituents and produce cosmogenic radionuclides such as14C,10Be and36Cl. Here we present10Be and36Cl data measured in ice cores from Greenland and Antarctica. The data consistently show one of the largest10Be and36Cl production peaks detected so far, most likely produced by an extreme SEP event that hit Earth 9125 years BP (before present, i.e., before 1950 CE), i.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Decapod-inspired pigment modulation for active building facades",
"doi": "10.1038/s41467-022-31527-6",
"url": "https://doi.org/10.1038/s41467-022-31527-6",
"journal": "Nature Communications",
"year": 2022,
"authors": "Kay, R.; Katrycz, C.; Nitièma, K.; Jakubiec, J.; Hatton, B.",
"abstract": "AbstractTypical buildings are static structures, unable to adjust to dynamic temperature and daylight fluctuations. Adaptive facades that are responsive to these unsteady solar conditions can substantially reduce operational energy inefficiencies, indoor heating, cooling, and lighting costs, as well as greenhouse-gas emissions. Inspired by marine organisms that disperse pigments within their skin, we propose an adaptive building interface that uses reversible fluid injections to tune optical tra",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Resilience of urban public electric vehicle charging infrastructure to flooding",
"doi": "10.1038/s41467-022-30848-w",
"url": "https://doi.org/10.1038/s41467-022-30848-w",
"journal": "Nature Communications",
"year": 2022,
"authors": "Raman, G.; Raman, G.; Peng, J.",
"abstract": "AbstractAn adequate charging infrastructure is key to enabling high personal electric vehicle (EV) adoption rates. However, urban flooding—whose frequency and intensity are increasing due to climate change—may be an impediment. Here, we study how geographically-correlated outages due to floods impact public EV charging networks in Greater London. While we find no appreciable impact on the ability of battery EVs to serve typical urban driving behaviors, we observe disproportionate stresses on cha",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Regional trade agreement burdens global carbon emissions mitigation",
"doi": "10.1038/s41467-022-28004-5",
"url": "https://doi.org/10.1038/s41467-022-28004-5",
"journal": "Nature Communications",
"year": 2022,
"authors": "Tian, K.; Zhang, Y.; Li, Y.; Ming, X.; Jiang, S.",
"abstract": "Abstract\n \n Regional trade agreements (RTAs) have been widely adopted to facilitate international trade and cross-border investment and promote economic development. However, ex ante measurements of the environmental effects of RTAs to date have not been well conducted. Here, we estimate the CO\n 2\n emissions burdens of the Regional Comprehensive Economic Partnership (RCEP) after evaluating its economic effects. We find tha",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Simulated co-optimization of renewable energy and desalination systems in Neom, Saudi Arabia",
"doi": "10.1038/s41467-022-31233-3",
"url": "https://doi.org/10.1038/s41467-022-31233-3",
"journal": "Nature Communications",
"year": 2022,
"authors": "Riera, J.; Lima, R.; Hoteit, I.; Knio, O.",
"abstract": "AbstractThe interdependence between the water and power sectors is a growing concern as the need for desalination increases globally. Therefore, co-optimizing interdependent systems is necessary to understand the impact of one sector on another. We propose a framework to identify the optimal investment mix for a co-optimized water-power system and apply it to Neom, Saudi Arabia. Our results show that investment strategies that consider the co-optimization of both systems result in total cost sav",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation",
"doi": "10.1038/s41467-022-30164-3",
"url": "https://doi.org/10.1038/s41467-022-30164-3",
"journal": "Nature Communications",
"year": 2022,
"authors": "Sajadi, A.; Kenyon, R.; Hodge, B.",
"abstract": "AbstractThe synchronized operation of power generators is the foundation of electric power network stability and a key to the prevention of undesired power outages and blackouts. Here, we derive the conditions that guarantee synchronization in power networks with inherent generator heterogeneity when subjected to small perturbations, and perform a parametric sensitivity analysis to understand synchronization with varied types of generators. As inverter-based resources, which are the primary inte",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Pathway to a land-neutral expansion of Brazilian renewable fuel production",
"doi": "10.1038/s41467-022-30850-2",
"url": "https://doi.org/10.1038/s41467-022-30850-2",
"journal": "Nature Communications",
"year": 2022,
"authors": "Ramirez Camargo, L.; Castro, G.; Gruber, K.; Jewell, J.; Klingler, M.",
"abstract": "AbstractBiofuels are currently the only available bulk renewable fuel. They have, however, limited expansion potential due to high land requirements and associated risks for biodiversity, food security, and land conflicts. We therefore propose to increase output from ethanol refineries in a land-neutral methanol pathway: surplus CO2-streams from fermentation are combined with H2 from renewably powered electrolysis to synthesize methanol. We illustrate this pathway with the Brazilian sugarcane et",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Pathway to a land-neutral expansion of Brazilian renewable fuel production",
"doi": "10.1038/s41467-022-31235-1",
"url": "https://doi.org/10.1038/s41467-022-31235-1",
"journal": "Nature Communications",
"year": 2022,
"authors": "Ramirez Camargo, L.; Castro, G.; Gruber, K.; Jewell, J.; Klingler, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Data-driven load profiles and the dynamics of residential electricity consumption",
"doi": "10.1038/s41467-022-31942-9",
"url": "https://doi.org/10.1038/s41467-022-31942-9",
"journal": "Nature Communications",
"year": 2022,
"authors": "Anvari, M.; Proedrou, E.; Schäfer, B.; Beck, C.; Kantz, H.",
"abstract": "AbstractThe dynamics of power consumption constitutes an essential building block for planning and operating sustainable energy systems. Whereas variations in the dynamics of renewable energy generation are reasonably well studied, a deeper understanding of the variations in consumption dynamics is still missing. Here, we analyse highly resolved residential electricity consumption data of Austrian, German and UK households and propose a generally applicable data-driven load model. Specifically, ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Uncertainty modulates visual maps during noninstrumental information demand",
"doi": "10.1038/s41467-022-33585-2",
"url": "https://doi.org/10.1038/s41467-022-33585-2",
"journal": "Nature Communications",
"year": 2022,
"authors": "Li, Y.; Daddaoua, N.; Horan, M.; Foley, N.; Gottlieb, J.",
"abstract": "AbstractAnimals are intrinsically motivated to obtain information independently of instrumental incentives. This motivation depends on two factors: a desire to resolve uncertainty by gathering accurate information and a desire to obtain positively-valenced observations, which predict favorable rather than unfavorable outcomes. To understand the neural mechanisms, we recorded parietal cortical activity implicated in prioritizing stimuli for spatial attention and gaze, in a task in which monkeys w",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electrifying passenger road transport in India requires near-term electricity grid decarbonisation",
"doi": "10.1038/s41467-022-29620-x",
"url": "https://doi.org/10.1038/s41467-022-29620-x",
"journal": "Nature Communications",
"year": 2022,
"authors": "Abdul-Manan, A.; Gordillo Zavaleta, V.; Agarwal, A.; Kalghatgi, G.; Amer, A.",
"abstract": "AbstractBattery-electric vehicles (BEV) have emerged as a favoured technology solution to mitigate transport greenhouse gas (GHG) emissions in many non-Annex 1 countries, including India. GHG mitigation potentials of electric 4-wheelers in India depend critically on when and where they are charged: 40% reduction in the north-eastern states and more than 15% increase in the eastern/western regions today, with higher overall GHGs emitted when charged overnight and in the summer. Self-charging gaso",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Disruption of the grid cell network in a mouse model of early Alzheimer’s disease",
"doi": "10.1038/s41467-022-28551-x",
"url": "https://doi.org/10.1038/s41467-022-28551-x",
"journal": "Nature Communications",
"year": 2022,
"authors": "Ying, J.; Keinath, A.; Lavoie, R.; Vigneault, E.; El Mestikawy, S.",
"abstract": "Abstract\n Early-onset familial Alzheimer’s disease (AD) is marked by an aggressive buildup of amyloid beta (Aβ) proteins, yet the neural circuit operations impacted during the initial stages of Aβ pathogenesis remain elusive. Here, we report a coding impairment of the medial entorhinal cortex (MEC) grid cell network in the J20 transgenic mouse model of familial AD that over-expresses Aβ throughout the hippocampus and entorhinal cortex. Grid cells showed reduced spatial periodici",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Comparing the levelized cost of electric vehicle charging options in Europe",
"doi": "10.1038/s41467-022-32835-7",
"url": "https://doi.org/10.1038/s41467-022-32835-7",
"journal": "Nature Communications",
"year": 2022,
"authors": "Lanz, L.; Noll, B.; Schmidt, T.; Steffen, B.",
"abstract": "AbstractWith rapidly decreasing purchase prices of electric vehicles, charging costs are becoming ever more important for the diffusion of electric vehicles as required to decarbonize transport. However, the costs of charging electric vehicles in Europe are largely unknown. Here we develop a systematic classification of charging options, gather extensive market data on equipment cost, and employ a levelized cost approach to model charging costs in 30 European countries (European Union 27, Great ",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Impacts of shared mobility on vehicle lifetimes and on the carbon footprint of electric vehicles",
"doi": "10.1038/s41467-022-33666-2",
"url": "https://doi.org/10.1038/s41467-022-33666-2",
"journal": "Nature Communications",
"year": 2022,
"authors": "Morfeldt, J.; Johansson, D.",
"abstract": "Abstract\n Shared cars will likely have larger annual vehicle driving distances than individually owned cars. This may accelerate passenger car retirement. Here we develop a semi-empirical lifetime-driving intensity model using statistics on Swedish vehicle retirement. This semi-empirical model is integrated with a carbon footprint model, which considers future decarbonization pathways. In this work, we show that the carbon footprint depends on the cumulative driving distance, wh",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Revealing the pulse-induced electroplasticity by decoupling electron wind force",
"doi": "10.1038/s41467-022-34333-2",
"url": "https://doi.org/10.1038/s41467-022-34333-2",
"journal": "Nature Communications",
"year": 2022,
"authors": "Li, X.; Zhu, Q.; Hong, Y.; Zheng, H.; Wang, J.",
"abstract": "AbstractMicro/nano electromechanical systems and nanodevices often suffer from degradation under electrical pulse. However, the origin of pulse-induced degradation remains an open question. Herein, we investigate the defect dynamics in Au nanocrystals under pulse conditions. By decoupling the electron wind force via a properly-designed in situ TEM electropulsing experiment, we reveal a non-directional migration of Σ3{112} incoherent twin boundary upon electropulsing, in contrast to the expected ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reversible Power-to-Gas systems for energy conversion and storage",
"doi": "10.1038/s41467-022-29520-0",
"url": "https://doi.org/10.1038/s41467-022-29520-0",
"journal": "Nature Communications",
"year": 2022,
"authors": "Glenk, G.; Reichelstein, S.",
"abstract": "Abstract\n In the transition to decarbonized energy systems, Power-to-Gas (PtG) processes have the potential to connect the existing markets for electricity and hydrogen. Specifically, reversible PtG systems can convert electricity to hydrogen at times of ample power supply, yet they can also operate in the reverse direction to deliver electricity during times when power is relatively scarce. Here we develop a model for determining when reversible PtG systems are economically via",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Metrics and methods for moving from research to innovation in energy storage",
"doi": "10.1038/s41467-022-29257-w",
"url": "https://doi.org/10.1038/s41467-022-29257-w",
"journal": "Nature Communications",
"year": 2022,
"authors": "Pohlmann, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Giant energy-storage density with ultrahigh efficiency in lead-free relaxors via high-entropy design",
"doi": "10.1038/s41467-022-30821-7",
"url": "https://doi.org/10.1038/s41467-022-30821-7",
"journal": "Nature Communications",
"year": 2022,
"authors": "Chen, L.; Deng, S.; Liu, H.; Wu, J.; Qi, H.",
"abstract": "AbstractNext-generation advanced high/pulsed power capacitors rely heavily on dielectric ceramics with high energy storage performance. However, thus far, the huge challenge of realizing ultrahigh recoverable energy storage density (Wrec) accompanied by ultrahigh efficiency (η) still existed and has become a key bottleneck restricting the development of dielectric materials in cutting-edge energy storage applications. Here, we propose a high-entropy strategy to design “local polymorphic distorti",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Coupling aqueous zinc batteries and perovskite solar cells for simultaneous energy harvest, conversion and storage",
"doi": "10.1038/s41467-021-27791-7",
"url": "https://doi.org/10.1038/s41467-021-27791-7",
"journal": "Nature Communications",
"year": 2022,
"authors": "Chen, P.; Li, T.; Yang, Y.; Li, G.; Gao, X.",
"abstract": "AbstractSimultaneously harvesting, converting and storing solar energy in a single device represents an ideal technological approach for the next generation of power sources. Herein, we propose a device consisting of an integrated carbon-based perovskite solar cell module capable of harvesting solar energy (and converting it into electricity) and a rechargeable aqueous zinc metal cell. The electrochemical energy storage cell utilizes heterostructural Co2P-CoP-NiCoO2 nanometric arrays and zinc me",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Catalytic production of low-carbon footprint sustainable natural gas",
"doi": "10.1038/s41467-021-27919-9",
"url": "https://doi.org/10.1038/s41467-021-27919-9",
"journal": "Nature Communications",
"year": 2022,
"authors": "Si, X.; Lu, R.; Zhao, Z.; Yang, X.; Wang, F.",
"abstract": "AbstractNatural gas is one of the foremost basic energy sources on earth. Although biological process appears as promising valorization routes to transfer biomass to sustainable methane, the recalcitrance of lignocellulosic biomass is the major limitation for the production of mixing gas to meet the natural gas composition of pipeline transportation. Here we develop a catalytic-drive approach to directly transfer solid biomass to bio-natural gas which can be suitable for the current infrastructu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Black carbon footprint of human presence in Antarctica",
"doi": "10.1038/s41467-022-28560-w",
"url": "https://doi.org/10.1038/s41467-022-28560-w",
"journal": "Nature Communications",
"year": 2022,
"authors": "Cordero, R.; Sepúlveda, E.; Feron, S.; Damiani, A.; Fernandoy, F.",
"abstract": "AbstractBlack carbon (BC) from fossil fuel and biomass combustion darkens the snow and makes it melt sooner. The BC footprint of research activities and tourism in Antarctica has likely increased as human presence in the continent has surged in recent decades. Here, we report on measurements of the BC concentration in snow samples from 28 sites across a transect of about 2,000 km from the northern tip of Antarctica (62°S) to the southern Ellsworth Mountains (79°S). Our surveys show that BC conte",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "General heterostructure strategy of photothermal materials for scalable solar-heating hydrogen production without the consumption of artificial energy",
"doi": "10.1038/s41467-022-28364-y",
"url": "https://doi.org/10.1038/s41467-022-28364-y",
"journal": "Nature Communications",
"year": 2022,
"authors": "Li, Y.; Bai, X.; Yuan, D.; Zhang, F.; Li, B.",
"abstract": "AbstractSolar-heating catalysis has the potential to realize zero artificial energy consumption, which is restricted by the low ambient solar heating temperatures of photothermal materials. Here, we propose the concept of using heterostructures of black photothermal materials (such as Bi2Te3) and infrared insulating materials (Cu) to elevate solar heating temperatures. Consequently, the heterostructure of Bi2Te3and Cu (Bi2Te3/Cu) increases the 1 sun-heating temperature of Bi2Te3from 93 °C to 317",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US",
"doi": "10.1038/s41467-022-34447-7",
"url": "https://doi.org/10.1038/s41467-022-34447-7",
"journal": "Nature Communications",
"year": 2022,
"authors": "Wang, J.; Li, F.; Cui, H.; Shi, Q.; Mingee, T.",
"abstract": "AbstractThe outbreak of novel coronavirus disease (COVID-19) has resulted in changes in productivity and daily life patterns, and as a result electricity consumption (EC) has also shifted. In this paper, we construct estimates of EC changes at the metropolitan level across the continental U.S., including total EC and residential EC during the initial two months of the pandemic. The total and residential data on the state level were broken down into the county level, and then metropolitan level E",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A film-lever actuated switch technology for multifunctional, on-demand, and robust manipulation of liquids",
"doi": "10.1038/s41467-022-32676-4",
"url": "https://doi.org/10.1038/s41467-022-32676-4",
"journal": "Nature Communications",
"year": 2022,
"authors": "Liang, C.; Yang, Z.; Jiang, H.",
"abstract": "AbstractA lab-on-a-chip system with Point-of-Care testing capability offers rapid and accurate diagnostic potential and is useful in resource-limited settings where biomedical equipment and skilled professionals are not readily available. However, a Point-of-Care testing system that simultaneously possesses all required features of multifunctional dispensing, on-demand release, robust operations, and capability for long-term reagent storage is still a major challenge. Here, we describe a film-le",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electro-active metaobjective from metalenses-on-demand",
"doi": "10.1038/s41467-022-34494-0",
"url": "https://doi.org/10.1038/s41467-022-34494-0",
"journal": "Nature Communications",
"year": 2022,
"authors": "Karst, J.; Lee, Y.; Floess, M.; Ubl, M.; Ludwigs, S.",
"abstract": "AbstractSwitchable metasurfaces can actively control the functionality of integrated metadevices with high efficiency and on ultra-small length scales. Such metadevices include active lenses, dynamic diffractive optical elements, or switchable holograms. Especially, for applications in emerging technologies such as AR (augmented reality) and VR (virtual reality) devices, sophisticated metaoptics with unique functionalities are crucially important. In particular, metaoptics which can be switched ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Magnetically assisted drop-on-demand 3D printing of microstructured multimaterial composites",
"doi": "10.1038/s41467-022-32792-1",
"url": "https://doi.org/10.1038/s41467-022-32792-1",
"journal": "Nature Communications",
"year": 2022,
"authors": "Liu, W.; Chou, V.; Behera, R.; Le Ferrand, H.",
"abstract": "AbstractMicrostructured composites with hierarchically arranged fillers fabricated by three-dimensional (3D) printing show enhanced properties along the fillers’ alignment direction. However, it is still challenging to achieve good control of the filler arrangement and high filler concentration simultaneously, which limits the printed material’s properties. In this study, we develop a magnetically assisted drop-on-demand 3D printing technique (MDOD) to print aligned microplatelet reinforced comp",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Smart low interfacial toughness coatings for on-demand de-icing without melting",
"doi": "10.1038/s41467-022-32852-6",
"url": "https://doi.org/10.1038/s41467-022-32852-6",
"journal": "Nature Communications",
"year": 2022,
"authors": "Azimi Dijvejin, Z.; Jain, M.; Kozak, R.; Zarifi, M.; Golovin, K.",
"abstract": "AbstractIce accretion causes problems in vital industries and has been addressed over the past decades with either passive or active de-icing systems. This work presents a smart, hybrid (passive and active) de-icing system through the combination of a low interfacial toughness coating, printed circuit board heaters, and an ice-detecting microwave sensor. The coating’s interfacial toughness with ice is found to be temperature dependent and can be modulated using the embedded heaters. Accordingly,",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Rising ecosystem water demand exacerbates the lengthening of tropical dry seasons",
"doi": "10.1038/s41467-022-31826-y",
"url": "https://doi.org/10.1038/s41467-022-31826-y",
"journal": "Nature Communications",
"year": 2022,
"authors": "Xu, H.; Lian, X.; Slette, I.; Yang, H.; Zhang, Y.",
"abstract": "Abstract\n Precipitation-based assessments show a lengthening of tropical dry seasons under climate change, without considering simultaneous changes in ecosystem water demand. Here, we compare changes in tropical dry season length and timing when dry season is defined as the period when precipitation is less than: its climatological average, potential evapotranspiration, or actual evapotranspiration. While all definitions show more widespread tropical drying than wetting for 1983",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Adenosine triphosphate-activated prodrug system for on-demand bacterial inactivation and wound disinfection",
"doi": "10.1038/s41467-022-32453-3",
"url": "https://doi.org/10.1038/s41467-022-32453-3",
"journal": "Nature Communications",
"year": 2022,
"authors": "Weng, Y.; Chen, H.; Chen, X.; Yang, H.; Chen, C.",
"abstract": "AbstractThe prodrug approach has emerged as a promising solution to combat bacterial resistance and enhance treatment efficacy against bacterial infections. Here, we report an adenosine triphosphate (ATP)-activated prodrug system for on-demand treatment of bacterial infection. The prodrug system benefits from the synergistic action of zeolitic imidazolate framework-8 and polyacrylamide hydrogel microsphere, which simultaneously transports indole-3-acetic acid and horseradish peroxidase in a sing",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Favourability towards natural gas relates to funding source of university energy centres",
"doi": "10.1038/s41558-022-01521-3",
"url": "https://doi.org/10.1038/s41558-022-01521-3",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Almond, D.; Du, X.; Papp, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Renewable energy certificates allow companies to overstate their emission reductions",
"doi": "10.1038/s41558-022-01385-7",
"url": "https://doi.org/10.1038/s41558-022-01385-7",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Bjørn, A.; Lloyd, S.; Brander, M.; Matthews, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Renewable energy certificates threaten the integrity of corporate science-based targets",
"doi": "10.1038/s41558-022-01379-5",
"url": "https://doi.org/10.1038/s41558-022-01379-5",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Bjørn, A.; Lloyd, S.; Brander, M.; Matthews, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Demographics of emissions",
"doi": "10.1038/s41558-022-01325-5",
"url": "https://doi.org/10.1038/s41558-022-01325-5",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Firm emissions reduction",
"doi": "10.1038/s41558-022-01293-w",
"url": "https://doi.org/10.1038/s41558-022-01293-w",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "El Niño enhances wildfire emissions",
"doi": "10.1038/s41558-022-01524-0",
"url": "https://doi.org/10.1038/s41558-022-01524-0",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Franke, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Action on demand",
"doi": "10.1038/s41558-022-01369-7",
"url": "https://doi.org/10.1038/s41558-022-01369-7",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts on tourism demand",
"doi": "10.1038/s41558-022-01450-1",
"url": "https://doi.org/10.1038/s41558-022-01450-1",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Dayrell, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Widespread shift from ecosystem energy to water limitation with climate change",
"doi": "10.1038/s41558-022-01403-8",
"url": "https://doi.org/10.1038/s41558-022-01403-8",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Denissen, J.; Teuling, A.; Pitman, A.; Koirala, S.; Migliavacca, M.",
"abstract": "AbstractTerrestrial ecosystems are essential for food and water security and CO2 uptake. Ecosystem function is dependent on the availability of soil moisture, yet it is unclear how climate change will alter soil moisture limitation on vegetation. Here we use an ecosystem index that distinguishes energy and water limitations in Earth system model simulations to show a widespread regime shift from energy to water limitation between 1980 and 2100. This shift is found in both space and time. While t",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Desert dunes transformed by end-of-century changes in wind climate",
"doi": "10.1038/s41558-022-01507-1",
"url": "https://doi.org/10.1038/s41558-022-01507-1",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Baas, A.; Delobel, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate change threatens terrestrial water storage over the Tibetan Plateau",
"doi": "10.1038/s41558-022-01443-0",
"url": "https://doi.org/10.1038/s41558-022-01443-0",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Li, X.; Long, D.; Scanlon, B.; Mann, M.; Li, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Limited impacts of carbon tax rebate programmes on public support for carbon pricing",
"doi": "10.1038/s41558-021-01268-3",
"url": "https://doi.org/10.1038/s41558-021-01268-3",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Mildenberger, M.; Lachapelle, E.; Harrison, K.; Stadelmann-Steffen, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Limited evidence that carbon tax rebates have increased public support for carbon pricing",
"doi": "10.1038/s41558-021-01270-9",
"url": "https://doi.org/10.1038/s41558-021-01270-9",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Mildenberger, M.; Lachapelle, E.; Harrison, K.; Stadelmann-Steffen, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon impacts",
"doi": "10.1038/s41558-022-01394-6",
"url": "https://doi.org/10.1038/s41558-022-01394-6",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Findlay, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Low-carbon futures",
"doi": "10.1038/s41558-022-01395-5",
"url": "https://doi.org/10.1038/s41558-022-01395-5",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Dayrell, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The proliferation of carbon labels",
"doi": "10.1038/s41558-022-01442-1",
"url": "https://doi.org/10.1038/s41558-022-01442-1",
"journal": "Nature Climate Change",
"year": 2022,
"authors": "Etzion, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Feasibility of hybrid in-stream generator–photovoltaic systems for Amazonian off-grid communities",
"doi": "10.1093/pnasnexus/pgac077",
"url": "https://doi.org/10.1093/pnasnexus/pgac077",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Brown, E.; Johansen, I.; Bortoleto, A.; Pokhrel, Y.; Chaudhari, S.",
"abstract": "Abstract\n While there have been efforts to supply off-grid energy in the Amazon, these attempts have focused on low upfront costs and deployment rates. These “get-energy-quick” methods have almost solely adopted diesel generators, ignoring the environmental and social risks associated with the known noise and pollution of combustion engines. Alternatively, it is recommended, herein, to supply off-grid needs with renewable, distributed microgrids comprised of photovoltaics (PV) and ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Isotopic evidence for pallasite formation by impact mixing of olivine and metal during the first 10 million years of the Solar System",
"doi": "10.1093/pnasnexus/pgac015",
"url": "https://doi.org/10.1093/pnasnexus/pgac015",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Windmill, R.; Franchi, I.; Hellmann, J.; Schneider, J.; Spitzer, F.",
"abstract": "Abstract\n Pallasites are mixtures of core and mantle material that may have originated from the core–mantle boundary of a differentiated body. However, recent studies have introduced the possibility that they record an impact mix, in which case an isotopic difference between metal and silicates in pallasites may be expected. We report a statistically significant oxygen isotope disequilibrium between olivine and chromite in main group pallasites that implies the silicate and metal p",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Carbon fixation pathways across the bacterial and archaeal tree of life",
"doi": "10.1093/pnasnexus/pgac226",
"url": "https://doi.org/10.1093/pnasnexus/pgac226",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Garritano, A.; Song, W.; Thomas, T.",
"abstract": "AbstractCarbon fixation is a critical process for our planet; however, its distribution across the bacterial and archaeal domains of life has not been comprehensively studied. Here, we performed an analysis of 52,515 metagenome-assembled genomes and discover carbon fixation pathways in 1,007 bacteria and archaea. We reveal the genomic potential for carbon fixation through the reverse tricarboxylic acid cycle in previously unrecognized archaeal and bacterial phyla (i.e. Thermoplasmatota and Elusi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Proterozoic supercontinent break-up as a driver for oxygenation events and subsequent carbon isotope excursions",
"doi": "10.1093/pnasnexus/pgac036",
"url": "https://doi.org/10.1093/pnasnexus/pgac036",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Eguchi, J.; Diamond, C.; Lyons, T.",
"abstract": "Abstract\n Oxygen and carbon are 2 elements critical for life on Earth. Earth's most dramatic oxygenation events and carbon isotope excursions (CIE) occurred during the Proterozoic, including the Paleoproterozoic Great Oxidation Event and the associated Lomagundi CIE, the Neoproterozoic Oxygenation event, and the Shuram negative CIE during the late Neoproterozoic. A specific pattern of a long-lived positive CIE followed by a negative CIE is observed in association with oxygenation e",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Unexpected no significant soil carbon losses in the Tibetan grasslands due to rodent bioturbation",
"doi": "10.1093/pnasnexus/pgac314",
"url": "https://doi.org/10.1093/pnasnexus/pgac314",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Huang, M.; Gan, D.; Li, Z.; Wang, J.; Niu, S.",
"abstract": "AbstractThe Tibetan grasslands store 2.5% of the Earth’s soil organic carbon. Unsound management practices and climate change have resulted in widespread grassland degradation, providing open habitats for rodent activities. Rodent bioturbation loosens topsoil, reduces productivity, changes soil nutrient conditions, and consequently influences the soil organic carbon stocks of the Tibetan grasslands. However, these effects have not been quantified. Here, using meta-analysis and upscaling approach",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Structural measures of personal networks predict migrants’ cultural backgrounds: an explanation from Grid/Group theory",
"doi": "10.1093/pnasnexus/pgac195",
"url": "https://doi.org/10.1093/pnasnexus/pgac195",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Molina, J.; Ozaita, J.; Tamarit, I.; Sánchez, A.; McCarty, C.",
"abstract": "Abstract\n Culture and social structure are not separated analytical domains but intertwined phenomena observable in personal networks. Drawing on a personal networks dataset of migrants in the United States and Spain, we show that the country of origin, a proxy for diverse languages and cultural institutions, and religion may be predicted by specific combinations of personal network structural measures (closeness, clustering, betweenness, average degree, etc). We obtain similar res",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cryocampsis: a biophysical freeze-bending response of shrubs and trees under snow loads",
"doi": "10.1093/pnasnexus/pgac131",
"url": "https://doi.org/10.1093/pnasnexus/pgac131",
"journal": "npj Clean Energy",
"year": 2022,
"authors": "Ray, P.; Bret-Harte, M.",
"abstract": "Abstract\n We report a biophysical mechanism, termed cryocampsis (Greek cryo-, cold, + campsis, bending), that helps northern shrubs bend downward under a snow load. Subfreezing temperatures substantially increase the downward bending of cantilever-loaded branches of these shrubs, while allowing them to recover their summer elevation after thawing and becoming unloaded. This is counterintuitive, because biological materials (including branches that show cryocampsis) generally become",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Exploring the operational potential of the forest-photovoltaic utilizing the simulated solar tree",
"doi": "10.1038/s41598-022-17102-5",
"url": "https://doi.org/10.1038/s41598-022-17102-5",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Um, D.",
"abstract": "AbstractThe aim of this study was to explore the operational potential of forest-photovoltaic by simulating solar tree installation. The forest-photovoltaic concept is to maintain carbon absorption activities in the lower part while acquiring solar energy by installing a photovoltaic structure on the upper part of forest land. This study was conducted by simulating solar tree installation using Google Earth satellite imagery in a mountainous area where an agrophotovoltaic system was already inst",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Diverse cloud and aerosol impacts on solar photovoltaic potential in southern China and northern India",
"doi": "10.1038/s41598-022-24208-3",
"url": "https://doi.org/10.1038/s41598-022-24208-3",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Yang, J.; Yi, B.; Wang, S.; Liu, Y.; Li, Y.",
"abstract": "AbstractCloud and aerosol are two important modulators that influence the solar radiation reaching the earth’s surface. It is intriguing to find diverse impacts of clouds and aerosols over Southern China (SC) and Northern India (NI) which result in remarkable differences in the plane-of-array irradiance (POAI) that signifies the maximum available solar photovoltaic potential by combining the latest satellite retrieval results and modeling tools. By separating the impacts of cloud and aerosol on ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Inefficient Building Electrification Will Require Massive Buildout of Renewable Energy and Seasonal Energy Storage",
"doi": "10.1038/s41598-022-15628-2",
"url": "https://doi.org/10.1038/s41598-022-15628-2",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Buonocore, J.; Salimifard, P.; Magavi, Z.; Allen, J.",
"abstract": "AbstractBuilding electrification is essential to many full-economy decarbonization pathways. However, current decarbonization modeling in the United States (U.S.) does not incorporate seasonal fluctuations in building energy demand, seasonal fluctuations in electricity demand of electrified buildings, or the ramifications of this extra demand for electricity generation. Here, we examine historical energy data in the U.S. to evaluate current seasonal fluctuation in total energy demand and managem",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy and thermal modelling of an office building to develop an artificial neural networks model",
"doi": "10.1038/s41598-022-12924-9",
"url": "https://doi.org/10.1038/s41598-022-12924-9",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Santos-Herrero, J.; Lopez-Guede, J.; Flores Abascal, I.; Zulueta, E.",
"abstract": "AbstractNowadays everyone should be aware of the importance of reducing CO2 emissions which produce the greenhouse effect. In the field of construction, several options are proposed to reach nearly-Zero Energy Building (nZEB) standards. Obviously, before undertaking a modification in any part of a building focused on improving the energy performance, it is generally better to carry out simulations to evaluate its effectiveness. Using Artificial Neural Networks (ANNs) allows a digital twin of the",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon sinks and carbon emissions balance of land use transition in Xinjiang, China: differences and compensation",
"doi": "10.1038/s41598-022-27095-w",
"url": "https://doi.org/10.1038/s41598-022-27095-w",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Luo, K.; Wang, H.; Ma, C.; Wu, C.; Zheng, X.",
"abstract": "AbstractWith the continuous enhancement of human activities, the contradiction between regional development and ecological protection is prominent in the ecologically fragile arid areas. It is of great significance for regional sustainable development to understand the ecological supply and demand problems caused by transformation of land using and formulate ecological compensation scheme scientifically. This study takes Xinjiang in China as the research area. It explores the land use transition",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Heterogeneous climate change impacts on electricity demand in world cities circa mid-century",
"doi": "10.1038/s41598-022-07922-w",
"url": "https://doi.org/10.1038/s41598-022-07922-w",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Romitti, Y.; Sue Wing, I.",
"abstract": "Abstract\n \n Rising ambient temperatures due to climate change will increase urban populations’ exposures to extreme heat. During hot hours, a key protective adaptation is increased air conditioning and associated consumption of electricity for cooling. But during cold hours, milder temperatures have the offsetting effect of reducing consumption of electricity and other fuels for heating. We elucidate the net consequences of these opposing effects in 36 cities ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Heterogeneous climate change impacts on electricity demand in world cities circa mid-century",
"doi": "10.1038/s41598-022-09077-0",
"url": "https://doi.org/10.1038/s41598-022-09077-0",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Romitti, Y.; Sue Wing, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Demonstration of static electricity induced luminescence",
"doi": "10.1038/s41598-022-12704-5",
"url": "https://doi.org/10.1038/s41598-022-12704-5",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Kikunaga, K.; Terasaki, N.",
"abstract": "AbstractCan we visualise static electricity, which everyone in the world knows about? Since static electricity is generated by contact or peeling, it may be a source of malfunction of electronic components, whose importance is steadily increasing, and even cause explosion and fire. As static electricity is invisible, makeshift measures of static electricity are taken on various surfaces; there is also a common view that it is hard to take effective measures. Here we present a specific luminescen",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data",
"doi": "10.1038/s41598-022-25255-6",
"url": "https://doi.org/10.1038/s41598-022-25255-6",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Chua, Z.; Evans, A.; Kuleshov, Y.; Watkins, A.; Choy, S.",
"abstract": "AbstractRainfall estimation over large areas is important for a thorough understanding of water availability, influencing societal decision-making, as well as being an input for scientific models. Traditionally, Australia utilizes a gauge-based analysis for rainfall estimation, but its performance can be severely limited over regions with low gauge density such as central parts of the continent. At the Australian Bureau of Meteorology, the current operational monthly rainfall component of the Au",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Linking the long-term variability in global wave energy to swell climate and redefining suitable coasts for energy exploitation",
"doi": "10.1038/s41598-022-18935-w",
"url": "https://doi.org/10.1038/s41598-022-18935-w",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Kamranzad, B.; Amarouche, K.; Akpinar, A.",
"abstract": "AbstractThe sustainability of wave energy linked to the intra- and inter-annual variability in wave climate is crucial in wave resource assessment. In this study, we quantify the dependency of stability of wave energy flux (power) on long-term variability of wind and wave climate to detect a relationship between them. We used six decades of re-analysis wind and simulated wave climate in the entire globe and using two 30-yearly periods, we showed that not only the previously suggested minimum per",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Influence of green technology, green energy consumption, energy efficiency, trade, economic development and FDI on climate change in South Asia",
"doi": "10.1038/s41598-022-20432-z",
"url": "https://doi.org/10.1038/s41598-022-20432-z",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Tariq, G.; Sun, H.; Ali, I.; Pasha, A.; Khan, M.",
"abstract": "AbstractClimate change policy has several potential risks. The purpose of this study is to investigate the impact of green technology development, green energy consumption, energy efficiency, foreign direct investment, economic growth, and trade (imports and exports) on greenhouse gas (GHG) emissions in South Asia from 1981 to 2018. We employed Breusch Pagan LM, bias-corrected scaled LM, and Pesaran CD as part of a series of techniques that can assist in resolving the problem of cross-sectional ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Authentication of smart grid communications using quantum key distribution",
"doi": "10.1038/s41598-022-16090-w",
"url": "https://doi.org/10.1038/s41598-022-16090-w",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Alshowkan, M.; Evans, P.; Starke, M.; Earl, D.; Peters, N.",
"abstract": "AbstractSmart grid solutions enable utilities and customers to better monitor and control energy use via information and communications technology. Information technology is intended to improve the future electric grid’s reliability, efficiency, and sustainability by implementing advanced monitoring and control systems. However, leveraging modern communications systems also makes the grid vulnerable to cyberattacks. Here we report the first use of quantum key distribution (QKD) keys in the authe",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon",
"doi": "10.1038/s41598-022-09156-2",
"url": "https://doi.org/10.1038/s41598-022-09156-2",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Xiaofeng, T.",
"abstract": "AbstractAutonomous electric vehicles promise to improve traffic safety, increase fuel efficiency and reduce congestion in future intelligent transportation systems. Ecological driving characteristics are first studied to concentrate on energy consumption, the ability to quickly pass its destination, etc. of autonomous electric vehicle plans (AEVPs) to maximize total energy efficiency benefits. To realize this goal, an optimal control model is developed to provide ecological driving suggestions t",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Collection mode choice of spent electric vehicle batteries: considering collection competition and third-party economies of scale",
"doi": "10.1038/s41598-022-10433-3",
"url": "https://doi.org/10.1038/s41598-022-10433-3",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Li, X.",
"abstract": "AbstractWith the rapid development of the electric vehicle (EV) industry, the recycling of spent EV batteries has attracted considerable attention. The establishment and optimization of the collection mode is a key link in regulating the recycling of spent EV batteries. This paper investigates an EV battery supply chain including an EV manufacturer, an EV retailer, and a third-party collector and analyzes three dual-channel collection modes. The optimal pricing and collection decisions of the th",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling",
"doi": "10.1038/s41598-022-14383-8",
"url": "https://doi.org/10.1038/s41598-022-14383-8",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Rad, N.; Bekker, A.; Arashi, M.",
"abstract": "AbstractWind energy production depends not only on wind speed but also on wind direction. Thus, predicting and estimating the wind direction for sites accurately will enhance measuring the wind energy potential. The uncertain nature of wind direction can be presented through probability distributions and Bayesian analysis can improve the modeling of the wind direction using the contribution of the prior knowledge to update the empirical shreds of evidence. This must align with the nature of the ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "SLM-processed MoS2/Mo2S3 nanocomposite for energy conversion/storage applications",
"doi": "10.1038/s41598-022-08921-7",
"url": "https://doi.org/10.1038/s41598-022-08921-7",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Alinejadian, N.; Kazemi, S.; Odnevall, I.",
"abstract": "AbstractMoS2-based nanocomposites have been widely processed by a variety of conventional and 3D printing techniques. In this study, selective laser melting (SLM) has for the first time successfully been employed to tune the crystallographic structure of bulk MoS2 to a 2H/1T phase and to distribute Mo2S3 nanoparticles in-situ in MoS2/Mo2S3 nanocomposites used in electrochemical energy conversion/storage systems (EECSS). The remarkable results promote further research on and elucidate the applica",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Inter-annual variation patterns in the carbon footprint of farmland ecosystems in Guangdong Province, China",
"doi": "10.1038/s41598-022-18425-z",
"url": "https://doi.org/10.1038/s41598-022-18425-z",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Guotong, Q.; Fei, C.; Na, W.; Dandan, Z.",
"abstract": "AbstractCarbon sequestration in farmland ecosystems is an important link in the world carbon cycle and plays an important role in regional carbon reduction. Guangdong, a major industrial and economic province in China, was used as the study area, and the period 2001–2020 was taken as the study period. The carbon emissions, sequestration, and footprint of farmland ecosystems in Guangdong were estimated using carbon emission factors for agricultural inputs that are closer to the actual situation i",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Reprocessed magnetorheological elastomers with reduced carbon footprint and their piezoresistive properties",
"doi": "10.1038/s41598-022-16129-y",
"url": "https://doi.org/10.1038/s41598-022-16129-y",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Munteanu, A.; Ronzova, A.; Kutalkova, E.; Drohsler, P.; Moucka, R.",
"abstract": "AbstractDespite the vast amount of studies based on magnetorheological elastomers (MREs), a very limited number of investigations have been initiated on their reprocessing. This paper presents a new type of recyclable MRE which is composed of thermoplastic polyurethane (TPU) and carbonyl iron particles (CI). The chosen TPU can be processed using injection moulding (IM), followed by several reprocessing cycles while preserving its properties. Numerous types of injection moulded and reprocessed MR",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Universal relation for life-span energy consumption in living organisms: Insights for the origin of aging",
"doi": "10.1038/s41598-022-06390-6",
"url": "https://doi.org/10.1038/s41598-022-06390-6",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Escala, A.",
"abstract": "Abstract\n \n Metabolic energy consumption has long been thought to play a major role in the aging process (Pearl, The rate of living. University of London Press, London, 1928). Across species, a gram of tissue expends approximately the same amount of energy during the lifespan on average (Speakman, J Exp Biol 208:1717–1730, 2005). Energy restriction has also been shown to increase the maximum lifespan (McCay et al. J Nutr 10:63–79, 1935) and to retard age-assoc",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A weighted energy consumption minimization-based multi-hop uneven clustering routing protocol for cognitive radio sensor networks",
"doi": "10.1038/s41598-022-18310-9",
"url": "https://doi.org/10.1038/s41598-022-18310-9",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Wang, J.; Li, C.",
"abstract": "AbstractAiming at solving the effective data delivery and energy hole problem in multi-hop cognitive radio sensor networks (CRSNs), a weighted energy consumption minimization-based uneven clustering (ECMUC) routing protocol is proposed in this paper. For the first time, the impact of control overhead on the network performance is taken into consideration, to be specific, the energy consumption of control overhead is integrated with that of data communication to model the network energy consumpti",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Low-carbon economic dispatch considering integrated demand response and multistep carbon trading for multi-energy microgrid",
"doi": "10.1038/s41598-022-10123-0",
"url": "https://doi.org/10.1038/s41598-022-10123-0",
"journal": "Scientific Reports",
"year": 2022,
"authors": "Long, Y.; Li, Y.; Wang, Y.; Cao, Y.; Jiang, L.",
"abstract": "AbstractWith the rapid development of distributed energy resources and natural gas power generation, multi-energy microgrid (MEMG) is considered as a critical technology to increase the penetration of renewable energy and achieve the target of carbon emission reduction. Therefore, this paper proposes a low-carbon economic dispatch model for MEMG to minimize the daily operation cost by considering integrated demand response (IDR) and multistep carbon trading. Specifically, IDR operation includes ",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Using thermal energy to enable fast charging of energy-dense batteries",
"doi": "10.1016/j.joule.2022.10.019",
"url": "https://doi.org/10.1016/j.joule.2022.10.019",
"journal": "Joule",
"year": 2022,
"authors": "Carter, R.; Love, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "National energy security or acceleration of transition? Energy policy after the war in Ukraine",
"doi": "10.1016/j.joule.2022.03.009",
"url": "https://doi.org/10.1016/j.joule.2022.03.009",
"journal": "Joule",
"year": 2022,
"authors": "Żuk, P.; Żuk, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Solar energy storage as salt for cooling?",
"doi": "10.1016/j.joule.2022.02.012",
"url": "https://doi.org/10.1016/j.joule.2022.02.012",
"journal": "Joule",
"year": 2022,
"authors": "Swaminathan, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Another view of oxygen in cathodes for high energy batteries",
"doi": "10.1016/j.joule.2022.04.022",
"url": "https://doi.org/10.1016/j.joule.2022.04.022",
"journal": "Joule",
"year": 2022,
"authors": "Yang, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nexus of solar and thermal photovoltaic technology could help solve the energy storage problem",
"doi": "10.1016/j.joule.2022.05.015",
"url": "https://doi.org/10.1016/j.joule.2022.05.015",
"journal": "Joule",
"year": 2022,
"authors": "Lenert, A.; Forrest, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Multilevel peel-off patterning of a prototype semitransparent organic photovoltaic module",
"doi": "10.1016/j.joule.2022.06.015",
"url": "https://doi.org/10.1016/j.joule.2022.06.015",
"journal": "Joule",
"year": 2022,
"authors": "Huang, X.; Fan, D.; Li, Y.; Forrest, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Performance optimization of monolithic all-perovskite tandem solar cells under standard and real-world solar spectra",
"doi": "10.1016/j.joule.2022.06.027",
"url": "https://doi.org/10.1016/j.joule.2022.06.027",
"journal": "Joule",
"year": 2022,
"authors": "Gao, Y.; Lin, R.; Xiao, K.; Luo, X.; Wen, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Beaming power: Photovoltaic laser power converters for power-by-light",
"doi": "10.1016/j.joule.2021.11.014",
"url": "https://doi.org/10.1016/j.joule.2021.11.014",
"journal": "Joule",
"year": 2022,
"authors": "Algora, C.; García, I.; Delgado, M.; Peña, R.; Vázquez, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Realistic pathways to decarbonization of building energy systems",
"doi": "10.1016/j.joule.2022.04.003",
"url": "https://doi.org/10.1016/j.joule.2022.04.003",
"journal": "Joule",
"year": 2022,
"authors": "Garimella, S.; Lockyear, K.; Pharis, D.; El Chawa, O.; Hughes, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Perovskite solar cells for building integrated photovoltaics—glazing applications",
"doi": "10.1016/j.joule.2022.06.003",
"url": "https://doi.org/10.1016/j.joule.2022.06.003",
"journal": "Joule",
"year": 2022,
"authors": "Bing, J.; Caro, L.; Talathi, H.; Chang, N.; Mckenzie, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Advances in distillation: Significant reductions in energy consumption and carbon dioxide emissions for crude oil separation",
"doi": "10.1016/j.joule.2022.10.004",
"url": "https://doi.org/10.1016/j.joule.2022.10.004",
"journal": "Joule",
"year": 2022,
"authors": "Mathew, T.; Narayanan, S.; Jalan, A.; Matthews, L.; Gupta, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Can CO2-assisted alkane dehydrogenation lead to negative CO2 emissions?",
"doi": "10.1016/j.joule.2021.12.008",
"url": "https://doi.org/10.1016/j.joule.2021.12.008",
"journal": "Joule",
"year": 2022,
"authors": "Biswas, A.; Xie, Z.; Chen, J.",
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{
"title": "Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology",
"doi": "10.1016/j.isci.2022.105253",
"url": "https://doi.org/10.1016/j.isci.2022.105253",
"journal": "iScience",
"year": 2022,
"authors": "Pouran, H.; Padilha Campos Lopes, M.; Nogueira, T.; Alves Castelo Branco, D.; Sheng, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A biorenewable cyclobutane-containing building block synthesized from sorbic acid using photoenergy",
"doi": "10.1016/j.isci.2022.105020",
"url": "https://doi.org/10.1016/j.isci.2022.105020",
"journal": "iScience",
"year": 2022,
"authors": "Mabin, M.; Elliott, Q.; Wang, Z.; Ugrinov, A.; Chu, Q.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How do China’s lockdown and post-COVID-19 stimuli impact carbon emissions and economic output? Retrospective estimates and prospective trajectories",
"doi": "10.1016/j.isci.2022.104328",
"url": "https://doi.org/10.1016/j.isci.2022.104328",
"journal": "iScience",
"year": 2022,
"authors": "Shao, S.; Wang, C.; Feng, K.; Guo, Y.; Feng, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global land-use intensity and anthropogenic emissions exhibit symbiotic and explosive behavior",
"doi": "10.1016/j.isci.2022.104741",
"url": "https://doi.org/10.1016/j.isci.2022.104741",
"journal": "iScience",
"year": 2022,
"authors": "Sarkodie, S.; Owusu, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Carbon contracts-for-difference: How to de-risk innovative investments for a low-carbon industry?",
"doi": "10.1016/j.isci.2022.104700",
"url": "https://doi.org/10.1016/j.isci.2022.104700",
"journal": "iScience",
"year": 2022,
"authors": "Richstein, J.; Neuhoff, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global health impact of atmospheric mercury emissions from artisanal and small-scale gold mining",
"doi": "10.1016/j.isci.2022.104881",
"url": "https://doi.org/10.1016/j.isci.2022.104881",
"journal": "iScience",
"year": 2022,
"authors": "Pang, Q.; Gu, J.; Wang, H.; Zhang, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts of the COVID-19 on all aircraft emissions of international routes in South America",
"doi": "10.1016/j.isci.2022.104865",
"url": "https://doi.org/10.1016/j.isci.2022.104865",
"journal": "iScience",
"year": 2022,
"authors": "Cui, Q.; Lei, Y.; Li, Y.; Wanke, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Potential greenhouse gas risk led by renewable energy crowding out nuclear power",
"doi": "10.1016/j.isci.2022.103741",
"url": "https://doi.org/10.1016/j.isci.2022.103741",
"journal": "iScience",
"year": 2022,
"authors": "Zhao, X.; Zhong, Z.; Lu, X.; Yu, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Seasonal challenges for a California renewable- energy-driven grid",
"doi": "10.1016/j.isci.2021.103577",
"url": "https://doi.org/10.1016/j.isci.2021.103577",
"journal": "iScience",
"year": 2022,
"authors": "Abido, M.; Mahmud, Z.; Sánchez-Pérez, P.; Kurtz, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Using temperature sensitivity to estimate shiftable electricity demand",
"doi": "10.1016/j.isci.2022.104940",
"url": "https://doi.org/10.1016/j.isci.2022.104940",
"journal": "iScience",
"year": 2022,
"authors": "Roberts, M.; Zhang, S.; Yuan, E.; Jones, J.; Fripp, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Targeted demand response for mitigating price volatility and enhancing grid reliability in synthetic Texas electricity markets",
"doi": "10.1016/j.isci.2021.103723",
"url": "https://doi.org/10.1016/j.isci.2021.103723",
"journal": "iScience",
"year": 2022,
"authors": "Lee, K.; Geng, X.; Sivaranjani, S.; Xia, B.; Ming, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Economics of planning electricity transmission considering environmental and health externalities",
"doi": "10.1016/j.isci.2022.104815",
"url": "https://doi.org/10.1016/j.isci.2022.104815",
"journal": "iScience",
"year": 2022,
"authors": "Yi, B.; Zhang, S.; Fan, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "High-resolution electricity generation model demonstrates suitability of high-altitude floating solar power",
"doi": "10.1016/j.isci.2022.104394",
"url": "https://doi.org/10.1016/j.isci.2022.104394",
"journal": "iScience",
"year": 2022,
"authors": "Eyring, N.; Kittner, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Changing sensitivity to cold weather in Texas power demand",
"doi": "10.1016/j.isci.2022.104173",
"url": "https://doi.org/10.1016/j.isci.2022.104173",
"journal": "iScience",
"year": 2022,
"authors": "Shaffer, B.; Quintero, D.; Rhodes, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electricity systems in the limit of free solar photovoltaics and continent-scale transmission",
"doi": "10.1016/j.isci.2022.104108",
"url": "https://doi.org/10.1016/j.isci.2022.104108",
"journal": "iScience",
"year": 2022,
"authors": "Duan, L.; Ruggles, T.; Caldeira, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Distribution grid impacts of electric vehicles: A California case study",
"doi": "10.1016/j.isci.2021.103686",
"url": "https://doi.org/10.1016/j.isci.2021.103686",
"journal": "iScience",
"year": 2022,
"authors": "Jenn, A.; Highleyman, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Planning for the evolution of the electric grid with a long-run marginal emission rate",
"doi": "10.1016/j.isci.2022.103915",
"url": "https://doi.org/10.1016/j.isci.2022.103915",
"journal": "iScience",
"year": 2022,
"authors": "Gagnon, P.; Cole, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Aqueous zinc batteries: Design principles toward organic cathodes for grid applications",
"doi": "10.1016/j.isci.2022.104204",
"url": "https://doi.org/10.1016/j.isci.2022.104204",
"journal": "iScience",
"year": 2022,
"authors": "Grignon, E.; Battaglia, A.; Schon, T.; Seferos, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Large balancing areas and dispersed renewable investment enhance grid flexibility in a renewable-dominant power system in China",
"doi": "10.1016/j.isci.2022.103749",
"url": "https://doi.org/10.1016/j.isci.2022.103749",
"journal": "iScience",
"year": 2022,
"authors": "Lin, J.; Abhyankar, N.; He, G.; Liu, X.; Yin, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Demand Response",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data",
"doi": "10.1016/j.isci.2022.105634",
"url": "https://doi.org/10.1016/j.isci.2022.105634",
"journal": "iScience",
"year": 2022,
"authors": "Hecht, C.; Figgener, J.; Sauer, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Idealized analysis of relative values of bidirectional versus unidirectional electric vehicle charging in deeply decarbonized electricity systems",
"doi": "10.1016/j.isci.2022.104906",
"url": "https://doi.org/10.1016/j.isci.2022.104906",
"journal": "iScience",
"year": 2022,
"authors": "Dioha, M.; Ruggles, T.; Ashfaq, S.; Caldeira, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Magnetic zinc-air batteries for storing wind and solar energy",
"doi": "10.1016/j.isci.2022.103837",
"url": "https://doi.org/10.1016/j.isci.2022.103837",
"journal": "iScience",
"year": 2022,
"authors": "Wang, K.; Pei, P.; Zuo, Y.; Wei, M.; Wang, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Regional representation of wind stakeholders’ end-of-life behaviors and their impact on wind blade circularity",
"doi": "10.1016/j.isci.2022.104734",
"url": "https://doi.org/10.1016/j.isci.2022.104734",
"journal": "iScience",
"year": 2022,
"authors": "Walzberg, J.; Cooperman, A.; Watts, L.; Eberle, A.; Carpenter, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Levelized cost-based learning analysis of utility-scale wind and solar in the United States",
"doi": "10.1016/j.isci.2022.104378",
"url": "https://doi.org/10.1016/j.isci.2022.104378",
"journal": "iScience",
"year": 2022,
"authors": "Bolinger, M.; Wiser, R.; O'Shaughnessy, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The quantity-quality transition in the value of expanding wind and solar power generation",
"doi": "10.1016/j.isci.2022.104140",
"url": "https://doi.org/10.1016/j.isci.2022.104140",
"journal": "iScience",
"year": 2022,
"authors": "Antonini, E.; Ruggles, T.; Farnham, D.; Caldeira, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Storage power purchase agreements to enable the deployment of energy storage in Europe",
"doi": "10.1016/j.isci.2022.104701",
"url": "https://doi.org/10.1016/j.isci.2022.104701",
"journal": "iScience",
"year": 2022,
"authors": "Gabrielli, P.; Hilsheimer, P.; Sansavini, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optimal deployment for carbon capture enables more than half of China’s coal-fired power plant to achieve low-carbon transformation",
"doi": "10.1016/j.isci.2022.105664",
"url": "https://doi.org/10.1016/j.isci.2022.105664",
"journal": "iScience",
"year": 2022,
"authors": "Yang, L.; Wei, N.; Lv, H.; Zhang, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Effective viscosification of supercritical carbon dioxide by oligomers of 1-decene",
"doi": "10.1016/j.isci.2022.104266",
"url": "https://doi.org/10.1016/j.isci.2022.104266",
"journal": "iScience",
"year": 2022,
"authors": "Kar, T.; Firoozabadi, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Private vs. public value of U.S. residential battery storage operated for solar self-consumption",
"doi": "10.1016/j.isci.2022.104714",
"url": "https://doi.org/10.1016/j.isci.2022.104714",
"journal": "iScience",
"year": 2022,
"authors": "Forrester, S.; Barbose, G.; Miller, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Heterogeneous changes in electricity consumption patterns of residential distributed solar consumers due to battery storage adoption",
"doi": "10.1016/j.isci.2022.104352",
"url": "https://doi.org/10.1016/j.isci.2022.104352",
"journal": "iScience",
"year": 2022,
"authors": "Qiu, Y.; Xing, B.; Patwardhan, A.; Hultman, N.; Zhang, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Global changes in electricity consumption during COVID-19",
"doi": "10.1016/j.isci.2021.103568",
"url": "https://doi.org/10.1016/j.isci.2021.103568",
"journal": "iScience",
"year": 2022,
"authors": "Buechler, E.; Powell, S.; Sun, T.; Astier, N.; Zanocco, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy",
"doi": "10.1126/sciadv.abn2293",
"url": "https://doi.org/10.1126/sciadv.abn2293",
"journal": "Science Advances",
"year": 2022,
"authors": "He, X.; Caciagli, L.; Parkes, L.; Stiso, J.; Karrer, T.",
"abstract": "Network control theory is increasingly used to profile the brain’s energy landscape via simulations of neural dynamics. This approach estimates the control energy required to simulate the activation of brain circuits based on structural connectome measured using diffusion magnetic resonance imaging, thereby quantifying those circuits’ energetic efficiency. The biological basis of control energy, however, remains unknown, hampering its further application. To fill this gap, investigating temporal",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ferroelectric/paraelectric superlattices for energy storage",
"doi": "10.1126/sciadv.abn4880",
"url": "https://doi.org/10.1126/sciadv.abn4880",
"journal": "Science Advances",
"year": 2022,
"authors": "Aramberri, H.; Fedorova, N.; Íñiguez, J.",
"abstract": "\n The polarization response of antiferroelectrics to electric fields is such that the materials can store large energy densities, which makes them promising candidates for energy storage applications in pulsed-power technologies. However, relatively few materials of this kind are known. Here, we consider ferroelectric/paraelectric superlattices as artificial electrostatically engineered antiferroelectrics. Specifically, using high-throughput second-principles calculations, we engineer",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Addressing gain-bandwidth trade-off by a monolithically integrated photovoltaic transistor",
"doi": "10.1126/sciadv.abq0187",
"url": "https://doi.org/10.1126/sciadv.abq0187",
"journal": "Science Advances",
"year": 2022,
"authors": "Li, Y.; Chen, G.; Zhao, S.; Liu, C.; Zhao, N.",
"abstract": "\n The gain-bandwidth trade-off limits the development of high-performance photodetectors; i.e., the mutual restraint between the response speed and gain has intrinsically limited performance optimization of photomultiplication phototransistors and photodiodes. Here, we show that a monolithically integrated photovoltaic transistor can solve this dilemma. In this structure, the photovoltage generated by the superimposed perovskite solar cell, acting as a float gate, is amplified by the ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Ultrafast response of spontaneous photovoltaic effect in 3R-MoS\n 2\n –based heterostructures",
"doi": "10.1126/sciadv.ade3759",
"url": "https://doi.org/10.1126/sciadv.ade3759",
"journal": "Science Advances",
"year": 2022,
"authors": "Wu, J.; Yang, D.; Liang, J.; Werner, M.; Ostroumov, E.",
"abstract": "\n Rhombohedrally stacked MoS\n 2\n has been shown to exhibit spontaneous polarization down to the bilayer limit and can sustain a strong depolarization field when sandwiched between graphene. Such a field gives rise to a spontaneous photovoltaic effect without needing any p-n junction. In this work, we show that the photovoltaic effect has an external quantum efficiency of 10% for devices with only two atomic layers of MoS\n 2\n at low temperatu",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Compositions of carbonaceous-type asteroidal cores in the early solar system",
"doi": "10.1126/sciadv.abo5781",
"url": "https://doi.org/10.1126/sciadv.abo5781",
"journal": "Science Advances",
"year": 2022,
"authors": "Zhang, B.; Chabot, N.; Rubin, A.",
"abstract": "The parent cores of iron meteorites belong to the earliest accreted bodies in the solar system. These cores formed in two isotopically distinct reservoirs: noncarbonaceous (NC) type and carbonaceous (CC) type in the inner and outer solar system, respectively. We measured elemental compositions of CC-iron groups and used fractional crystallization modeling to reconstruct the bulk compositions and crystallization processes of their parent asteroidal cores. We found generally lower S and higher P i",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Electrostatic dust removal using adsorbed moisture–assisted charge induction for sustainable operation of solar panels",
"doi": "10.1126/sciadv.abm0078",
"url": "https://doi.org/10.1126/sciadv.abm0078",
"journal": "Science Advances",
"year": 2022,
"authors": "Panat, S.; Varanasi, K.",
"abstract": "Dust accumulation on solar panels is a major challenge, as it blocks a large portion of sunlight. Solar panels are therefore cleaned regularly using large quantities of pure water. Consumption of water for cleaning, especially in deserts, poses a substantial sustainability challenge. Here, we present a waterless approach for dust removal from solar panels using electrostatic induction. We find that dust particles, despite primarily consisting of insulating silica, can be electrostatically repell",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Erratum for the Research Article: “Heating events in the nascent solar system recorded by rare earth element isotopic fractionation in refractory inclusions”",
"doi": "10.1126/sciadv.abn5144",
"url": "https://doi.org/10.1126/sciadv.abn5144",
"journal": "Science Advances",
"year": 2022,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Influence of voids on the thermal and light stability of perovskite solar cells",
"doi": "10.1126/sciadv.abo5977",
"url": "https://doi.org/10.1126/sciadv.abo5977",
"journal": "Science Advances",
"year": 2022,
"authors": "Wang, M.; Fei, C.; Uddin, M.; Huang, J.",
"abstract": "The formation of voids in perovskite films close to the buried interface has been reported during film deposition. These voids are thought to limits the efficiency and stability of perovskite solar cells (PSCs). Here, we studied the voids formed during operation in perovskite films that were optimized during the solution deposition process to avoid voids. New voids formed during operation are found to assemble along grain boundaries at the bottom interface, caused by the loss of residual solvent",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Natural separation of two primordial planetary reservoirs in an expanding solar protoplanetary disk",
"doi": "10.1126/sciadv.abm3045",
"url": "https://doi.org/10.1126/sciadv.abm3045",
"journal": "Science Advances",
"year": 2022,
"authors": "Liu, B.; Johansen, A.; Lambrechts, M.; Bizzarro, M.; Haugbølle, T.",
"abstract": "Meteorites display an isotopic composition dichotomy between noncarbonaceous (NC) and carbonaceous (CC) groups, indicating that planetesimal formation in the solar protoplanetary disk occurred in two distinct reservoirs. The prevailing view is that a rapidly formed Jupiter acted as a barrier between these reservoirs. We show a fundamental inconsistency in this model: If Jupiter is an efficient blocker of drifting pebbles, then the interior NC reservoir is depleted by radial drift within a few hu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Escalating carbon emissions from North American boreal forest wildfires and the climate mitigation potential of fire management",
"doi": "10.1126/sciadv.abl7161",
"url": "https://doi.org/10.1126/sciadv.abl7161",
"journal": "Science Advances",
"year": 2022,
"authors": "Phillips, C.; Rogers, B.; Elder, M.; Cooperdock, S.; Moubarak, M.",
"abstract": "Wildfires in boreal forests release large quantities of greenhouse gases to the atmosphere, exacerbating climate change. Here, we characterize the magnitude of recent and projected gross and net boreal North American wildfire carbon dioxide emissions, evaluate fire management as an emissions reduction strategy, and quantify the associated costs. Our results show that wildfires in boreal North America could, by mid-century, contribute to a cumulative net source of nearly 12 gigatonnes of carbon d",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Geographically resolved social cost of anthropogenic emissions accounting for both direct and climate-mediated effects",
"doi": "10.1126/sciadv.abn7307",
"url": "https://doi.org/10.1126/sciadv.abn7307",
"journal": "Science Advances",
"year": 2022,
"authors": "Burney, J.; Persad, G.; Proctor, J.; Bendavid, E.; Burke, M.",
"abstract": "The magnitude and distribution of physical and societal impacts from long-lived greenhouse gases are insensitive to the emission source location; the same is not true for major coemitted short-lived pollutants such as aerosols. Here, we combine novel global climate model simulations with established response functions to show that a given aerosol emission from different regions produces divergent air quality and climate changes and associated human system impacts, both locally and globally. The ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Projections of future forest degradation and CO\n 2\n emissions for the Brazilian Amazon",
"doi": "10.1126/sciadv.abj3309",
"url": "https://doi.org/10.1126/sciadv.abj3309",
"journal": "Science Advances",
"year": 2022,
"authors": "Assis, T.; Aguiar, A.; von Randow, C.; Nobre, C.",
"abstract": "\n In recent years, the area affected by forest degradation in the Brazilian Amazon has frequently been higher than deforestation. From August 2006 to July 2019, the degraded area totaled 194,058 km\n 2\n , representing almost two times the 99,630 km\n 2\n deforested in the same period. The impacts of degradation include biodiversity loss and changes in the carbon stocks, affecting the CO\n 2\n balance and future climate chang",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The effect of renewable energy incorporation on power grid stability and resilience",
"doi": "10.1126/sciadv.abj6734",
"url": "https://doi.org/10.1126/sciadv.abj6734",
"journal": "Science Advances",
"year": 2022,
"authors": "Smith, O.; Cattell, O.; Farcot, E.; O’Dea, R.; Hopcraft, K.",
"abstract": "Contemporary proliferation of renewable power generation is causing an overhaul in the topology, composition, and dynamics of electrical grids. These low-output, intermittent generators are widely distributed throughout the grid, including at the household level. It is critical for the function of modern power infrastructure to understand how this increasingly distributed layout affects network stability and resilience. This paper uses dynamical models, household power consumption, and photovolt",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Water evaporation–induced electricity with\n Geobacter sulfurreducens\n biofilms",
"doi": "10.1126/sciadv.abm8047",
"url": "https://doi.org/10.1126/sciadv.abm8047",
"journal": "Science Advances",
"year": 2022,
"authors": "Hu, Q.; Ma, Y.; Ren, G.; Zhang, B.; Zhou, S.",
"abstract": "\n Water evaporation–induced electricity generators (WEGs) have recently attracted extensive research attention as an emerging renewable energy–harvesting technology that harvests electricity directly from water evaporation. However, the low power output, limited available material, complicated fabrication process, and extremely high cost have restricted wide applications of this technology. Here, a facile and efficient WEG prototype based on\n Geobacter sulfurreducens\n ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ultrasound-mediated triboelectric nanogenerator for powering on-demand transient electronics",
"doi": "10.1126/sciadv.abl8423",
"url": "https://doi.org/10.1126/sciadv.abl8423",
"journal": "Science Advances",
"year": 2022,
"authors": "Lee, D.; Rubab, N.; Hyun, I.; Kang, W.; Kim, Y.",
"abstract": "The ultrasound-mediated transient materials enable the management of biodegradation processes for implantable electronics.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nanoengineered on-demand drug delivery system improves efficacy of pharmacotherapy for epilepsy",
"doi": "10.1126/sciadv.abm3381",
"url": "https://doi.org/10.1126/sciadv.abm3381",
"journal": "Science Advances",
"year": 2022,
"authors": "Wu, D.; Fei, F.; Zhang, Q.; Wang, X.; Gong, Y.",
"abstract": "Electroresponsive and synergistic brain-targeting nanoparticles improve efficacy of pharmacotherapy for epilepsy.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On-demand modulating afterglow color of water-soluble polymers through phosphorescence FRET for multicolor security printing",
"doi": "10.1126/sciadv.abk2925",
"url": "https://doi.org/10.1126/sciadv.abk2925",
"journal": "Science Advances",
"year": 2022,
"authors": "Peng, H.; Xie, G.; Cao, Y.; Zhang, L.; Yan, X.",
"abstract": "Developing full-color organic ultralong room temperature phosphorescence (OURTP) materials with continuously variable afterglow emission is of considerable practical importance in diverse optoelectronic applications but remains a formidable challenge. Here, we present an effective strategy for on-demand engineering of afterglow color in water-soluble polymeric systems via efficient phosphorescence Förster resonance energy transfer. Using a blue afterglow emitting water-soluble polymer as host an",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Coextinctions dominate future vertebrate losses from climate and land use change",
"doi": "10.1126/sciadv.abn4345",
"url": "https://doi.org/10.1126/sciadv.abn4345",
"journal": "Science Advances",
"year": 2022,
"authors": "Strona, G.; Bradshaw, C.",
"abstract": "Although theory identifies coextinctions as a main driver of biodiversity loss, their role at the planetary scale has yet to be estimated. We subjected a global model of interconnected terrestrial vertebrate food webs to future (2020–2100) climate and land-use changes. We predict a 17.6% (± 0.16% SE) average reduction of local vertebrate diversity globally by 2100, with coextinctions increasing the effect of primary extinctions by 184.2% (± 10.9% SE) on average under an intermediate emissions sc",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States",
"doi": "10.1126/sciadv.abn8762",
"url": "https://doi.org/10.1126/sciadv.abn8762",
"journal": "Science Advances",
"year": 2022,
"authors": "Qiu, M.; Zigler, C.; Selin, N.",
"abstract": "Understanding impacts of renewable energy on air quality and associated human exposures is essential for informing future policy. We estimate the impacts of U.S. wind power on air quality and pollution exposure disparities using hourly data from 2011 to 2017 and detailed atmospheric chemistry modeling. Wind power associated with renewable portfolio standards in 2014 resulted in $2.0 billion in health benefits from improved air quality. A total of 29% and 32% of these health benefits accrued to r",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Probing dissolved CO\n 2\n (aq) in aqueous solutions for CO\n 2\n electroreduction and storage",
"doi": "10.1126/sciadv.abo0399",
"url": "https://doi.org/10.1126/sciadv.abo0399",
"journal": "Science Advances",
"year": 2022,
"authors": "Li, J.; Guo, J.; Dai, H.",
"abstract": "\n CO\n 2\n dissolved in aqueous solutions CO\n 2\n (aq) is important to CO\n 2\n capture, storage, photo-/electroreduction in the fight against global warming and to CO\n 2\n analysis in drinks. Here, we developed microscale infrared (IR) spectroscopy for in situ dynamic quantitating CO\n 2\n (aq). T",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Semiautomated synthesis of sequence-defined polymers for information storage",
"doi": "10.1126/sciadv.abl8614",
"url": "https://doi.org/10.1126/sciadv.abl8614",
"journal": "Science Advances",
"year": 2022,
"authors": "Lee, J.; Kwon, J.; Lee, S.; Jang, H.; Kim, D.",
"abstract": "\n Accelerated and parallel synthesis of sequence-defined polymers is an utmost challenge for realizing ultrahigh-density storage of digital information in molecular media. Here, we report step-economical synthesis of sequence-defined poly(\n l\n -lactic-\n co\n -glycolic acid)s (PLGAs) using continuous flow chemistry. A reactor performed the programmed coupling of the 2-bit storing building blocks to generate a library of their permutations in a",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Storage and analysis of light-matter entanglement in a fiber-integrated system",
"doi": "10.1126/sciadv.abn3919",
"url": "https://doi.org/10.1126/sciadv.abn3919",
"journal": "Science Advances",
"year": 2022,
"authors": "Rakonjac, J.; Corrielli, G.; Lago-Rivera, D.; Seri, A.; Mazzera, M.",
"abstract": "The deployment of a full-fledged quantum internet poses the challenge of finding adequate building blocks for entanglement distribution between remote quantum nodes. A practical system would combine propagation in optical fibers with quantum memories for light, leveraging on the existing communication network while featuring the scalability required to extend to network sizes. Here, we demonstrate a fiber-integrated quantum memory entangled with a photon at telecommunication wavelength. The stor",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Safer carbon nanotube processing expands industrial and consumer applications",
"doi": "10.1126/sciadv.abq4853",
"url": "https://doi.org/10.1126/sciadv.abq4853",
"journal": "Science Advances",
"year": 2022,
"authors": "Lowery, J.; Green, M.",
"abstract": "Safer, less-reactive superacid processing enables printing and coating of carbon nanotubes into films, fibers, and fabrics.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building",
"doi": "10.1038/s41597-021-01082-8",
"url": "https://doi.org/10.1038/s41597-021-01082-8",
"journal": "Scientific Data",
"year": 2021,
"authors": "Agee, P.; Nikdel, L.; Roberts, S.",
"abstract": "AbstractThis paper provides an open dataset of measured energy use, solar energy production, and building air leakage data from a 328 m2 (3,531 ft2) all-electric, zero energy commercial building in Virginia, USA. Over two years of energy use data were collected at 1-hour intervals using circuit-level energy monitors. Over six years of solar energy production data were measured at 1-hour resolution by 56 microinverters (presented as daily and monthly data in this dataset). The building air leakag",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A synthetic building operation dataset",
"doi": "10.1038/s41597-021-00989-6",
"url": "https://doi.org/10.1038/s41597-021-00989-6",
"journal": "Scientific Data",
"year": 2021,
"authors": "Li, H.; Wang, Z.; Hong, T.",
"abstract": "AbstractThis paper presents a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office building, and 30 years’ historical weather data in three typical climates including Miami, San Francisco, and Chicag",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany",
"doi": "10.1038/s41597-021-00963-2",
"url": "https://doi.org/10.1038/s41597-021-00963-2",
"journal": "Scientific Data",
"year": 2021,
"authors": "Wenninger, M.; Maier, A.; Schmidt, J.",
"abstract": "AbstractReal-world domestic electricity demand datasets are the key enabler for developing and evaluating machine learning algorithms that facilitate the analysis of demand attribution and usage behavior. Breaking down the electricity demand of domestic households is seen as the key technology for intelligent smart-grid management systems that seek an equilibrium of electricity supply and demand. For the purpose of comparable research, we publish DEDDIAG, a domestic electricity demand dataset of",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption",
"doi": "10.1038/s41597-021-00951-6",
"url": "https://doi.org/10.1038/s41597-021-00951-6",
"journal": "Scientific Data",
"year": 2021,
"authors": "Barbar, M.; Mallapragada, D.; Alsup, M.; Stoner, R.",
"abstract": "AbstractIndia is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India over the coming decades, which includes a bottom-up estimate of electricity consumption for two major growth drivers, air conditioning, and vehicle electrification. The model projections are available at a customizable level of spatial aggregation at an hourly temporal resolution, which makes them useful as inputs",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption",
"doi": "10.1038/s41597-021-00996-7",
"url": "https://doi.org/10.1038/s41597-021-00996-7",
"journal": "Scientific Data",
"year": 2021,
"authors": "Barbar, M.; Mallapragada, D.; Alsup, M.; Stoner, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes",
"doi": "10.1038/s41597-021-00921-y",
"url": "https://doi.org/10.1038/s41597-021-00921-y",
"journal": "Scientific Data",
"year": 2021,
"authors": "Pullinger, M.; Kilgour, J.; Goddard, N.; Berliner, N.; Webb, L.",
"abstract": "AbstractThe IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appli",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "An open tool for creating battery-electric vehicle time series from empirical data, emobpy",
"doi": "10.1038/s41597-021-00932-9",
"url": "https://doi.org/10.1038/s41597-021-00932-9",
"journal": "Scientific Data",
"year": 2021,
"authors": "Gaete-Morales, C.; Kramer, H.; Schill, W.; Zerrahn, A.",
"abstract": "AbstractThere is substantial research interest in how future fleets of battery-electric vehicles will interact with the power sector. Various types of energy models are used for respective analyses. They depend on meaningful input parameters, in particular time series of vehicle mobility, driving electricity consumption, grid availability, or grid electricity demand. As the availability of such data is highly limited, we introduce the open-source tool emobpy. Based on mobility statistics, physic",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Electric vehicle charging stations in the workplace with high-resolution data from casual and habitual users",
"doi": "10.1038/s41597-021-00956-1",
"url": "https://doi.org/10.1038/s41597-021-00956-1",
"journal": "Scientific Data",
"year": 2021,
"authors": "Asensio, O.; Lawson, M.; Apablaza, C.",
"abstract": "AbstractProblems of poor network interoperability in electric vehicle (EV) infrastructure, where data about real-time usage or consumption is not easily shared across service providers, has plagued the widespread analysis of energy used for transportation. In this article, we present a high-resolution dataset of real-time EV charging transactions resolved to the nearest second over a one-year period at a multi-site corporate campus. This includes 105 charging stations across 25 different facilit",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Global offshore wind turbine dataset",
"doi": "10.1038/s41597-021-00982-z",
"url": "https://doi.org/10.1038/s41597-021-00982-z",
"journal": "Scientific Data",
"year": 2021,
"authors": "Zhang, T.; Tian, B.; Sengupta, D.; Zhang, L.; Si, Y.",
"abstract": "AbstractOffshore wind farms are widely adopted by coastal countries to obtain clean and green energy; their environmental impact has gained an increasing amount of attention. Although offshore wind farm datasets are commercially available via energy industries, records of the exact spatial distribution of individual wind turbines and their construction trajectories are rather incomplete, especially at the global level. Here, we construct a global remote sensing-based offshore wind turbine (OWT) ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A multilevel carbon and water footprint dataset of food commodities",
"doi": "10.1038/s41597-021-00909-8",
"url": "https://doi.org/10.1038/s41597-021-00909-8",
"journal": "Scientific Data",
"year": 2021,
"authors": "Petersson, T.; Secondi, L.; Magnani, A.; Antonelli, M.; Dembska, K.",
"abstract": "AbstractInforming and engaging citizens to adopt sustainable diets is a key strategy for reducing global environmental impacts of the agricultural and food sectors. In this respect, the first requisite to support citizens and actors of the food sector is to provide them a publicly available, reliable and ready to use synthesis of environmental pressures associated to food commodities. Here we introduce the SU-EATABLE LIFE database, a multilevel database of carbon (CF) and water (WF) footprint va",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Time series of useful energy consumption patterns for energy system modeling",
"doi": "10.1038/s41597-021-00907-w",
"url": "https://doi.org/10.1038/s41597-021-00907-w",
"journal": "Scientific Data",
"year": 2021,
"authors": "Priesmann, J.; Nolting, L.; Kockel, C.; Praktiknjo, A.",
"abstract": "AbstractThe analysis of energy scenarios for future energy systems requires appropriate data. However, while more or less detailed data on energy production is often available, appropriate data on energy consumption is often scarce. In our JERICHO-E-usage dataset, we provide comprehensive data on useful energy consumption patterns for heat, cold, mechanical energy, information and communication, and light in high spatial and temporal resolution. Furthermore, we distinguish between residential, i",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Simulation Tools",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Role of the social factors in success of solar photovoltaic reuse and recycle programmes",
"doi": "10.1038/s41560-021-00888-5",
"url": "https://doi.org/10.1038/s41560-021-00888-5",
"journal": "Nature Energy",
"year": 2021,
"authors": "Walzberg, J.; Carpenter, A.; Heath, G.",
"abstract": "Abstract\n By 2050, the cumulative mass of end-of-life photovoltaic (PV) modules may reach 80 Mt globally. The impacts could be mitigated by module recycling, repair and reuse; however, previous studies of PV circularity omit the consideration of critical social factors. Here we used an agent-based model to integrate social aspects with techno-economic factors, which provides a more realistic assessment of the circularity potential for previously studied interventions that assess",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A dataquake for solar cells",
"doi": "10.1038/s41560-021-00954-y",
"url": "https://doi.org/10.1038/s41560-021-00954-y",
"journal": "Nature Energy",
"year": 2021,
"authors": "Leite, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Active Building demonstrators for a low-carbon future",
"doi": "10.1038/s41560-021-00943-1",
"url": "https://doi.org/10.1038/s41560-021-00943-1",
"journal": "Nature Energy",
"year": 2021,
"authors": "Clarke, J.; Searle, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Achieving just transitions to low-carbon urban mobility",
"doi": "10.1038/s41560-021-00856-z",
"url": "https://doi.org/10.1038/s41560-021-00856-z",
"journal": "Nature Energy",
"year": 2021,
"authors": "Schwanen, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Modelling of supply and demand-side determinants of liquefied petroleum gas consumption in peri-urban Cameroon, Ghana and Kenya",
"doi": "10.1038/s41560-021-00933-3",
"url": "https://doi.org/10.1038/s41560-021-00933-3",
"journal": "Nature Energy",
"year": 2021,
"authors": "Shupler, M.; Mangeni, J.; Tawiah, T.; Sang, E.; Baame, M.",
"abstract": "Abstract\n \n Household transitions to cleaner cooking fuels (for example, liquefied petroleum gas (LPG)) have historically been studied from a demand perspective, with clean energy usage expected to increase with improvements in household socio-economic status. Although recent studies demonstrate the importance of supply-side determinants in increasing clean cooking, few large-scale studies have assessed their importance quantitatively, relative to demand-relat",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates",
"doi": "10.1038/s41560-020-00740-2",
"url": "https://doi.org/10.1038/s41560-020-00740-2",
"journal": "Nature Energy",
"year": 2021,
"authors": "Isik, M.; Dodder, R.; Kaplan, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions",
"doi": "10.1038/s41560-021-00900-y",
"url": "https://doi.org/10.1038/s41560-021-00900-y",
"journal": "Nature Energy",
"year": 2021,
"authors": "Nielsen, K.; Nicholas, K.; Creutzig, F.; Dietz, T.; Stern, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The cost of debt of renewable and non-renewable energy firms",
"doi": "10.1038/s41560-020-00745-x",
"url": "https://doi.org/10.1038/s41560-020-00745-x",
"journal": "Nature Energy",
"year": 2021,
"authors": "Kempa, K.; Moslener, U.; Schenker, O.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
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"abstract": "Abstract\n \n Nearly all US locomotives are propelled by diesel-electric drives, which emit 35 million tonnes of CO\n 2\n and produce air pollution causing about 1,000 premature deaths annually, accounting for approximately US$6.5 billion in annual health damage costs. Improved battery technology plus access to cheap renewable electricity open the possibility of battery-electric rail. Here we show that a 241-km range can be ac",
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"title": "Growing environmental footprint of plastics driven by coal combustion",
"doi": "10.1038/s41893-021-00807-2",
"url": "https://doi.org/10.1038/s41893-021-00807-2",
"journal": "Nature Sustainability",
"year": 2021,
"authors": "Cabernard, L.; Pfister, S.; Oberschelp, C.; Hellweg, S.",
"abstract": "AbstractResearch on the environmental impacts from the global value chain of plastics has typically focused on the disposal phase, considered most harmful to the environment and human health. However, the production of plastics is also responsible for substantial environmental, health and socioeconomic impacts. We show that the carbon and particulate-matter-related health footprint of plastics has doubled since 1995, due mainly to growth in plastics production in coal-based economies. Coal-based",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Drowning carbon sinks?",
"doi": "10.1038/s41893-021-00779-3",
"url": "https://doi.org/10.1038/s41893-021-00779-3",
"journal": "Nature Sustainability",
"year": 2021,
"authors": "Olen, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mapping classes of carbon",
"doi": "10.1038/s41893-021-00783-7",
"url": "https://doi.org/10.1038/s41893-021-00783-7",
"journal": "Nature Sustainability",
"year": 2021,
"authors": "Thornton, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy harvesting optical modulators with sub-attojoule per bit electrical energy consumption",
"doi": "10.1038/s41467-021-22460-1",
"url": "https://doi.org/10.1038/s41467-021-22460-1",
"journal": "Nature Communications",
"year": 2021,
"authors": "de Cea, M.; Atabaki, A.; Ram, R.",
"abstract": "AbstractThe light input to a semiconductor optical modulator can constitute an electrical energy supply through the photovoltaic effect, which is unexploited in conventional modulators. In this work, we leverage this effect to demonstrate a silicon modulator with sub-aJ/bit electrical energy consumption at sub-GHz speeds, relevant for massively parallel input/output systems such as neural interfaces. We use the parasitic photovoltaic current to self-charge the modulator and a single transistor t",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Novel symmetrical bifacial flexible CZTSSe thin film solar cells for indoor photovoltaic applications",
"doi": "10.1038/s41467-021-23343-1",
"url": "https://doi.org/10.1038/s41467-021-23343-1",
"journal": "Nature Communications",
"year": 2021,
"authors": "Deng, H.; Sun, Q.; Yang, Z.; Li, W.; Yan, Q.",
"abstract": "AbstractEnvironment-friendly flexible Cu2ZnSn(S,Se)4 (CZTSSe) solar cells show great potentials for indoor photovoltaic market. Indoor lighting is weak and multi-directional, thus the researches of photovoltaic device structures, techniques and performances face new challenges. Here, we design symmetrical bifacial CZTSSe solar cells on flexible Mo-foil substrate to efficiently harvest the indoor energy. Such devices are fabricated by double-sided deposition techniques to ensure bifacial consiste",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Pure spin photocurrent in non-centrosymmetric crystals: bulk spin photovoltaic effect",
"doi": "10.1038/s41467-021-24541-7",
"url": "https://doi.org/10.1038/s41467-021-24541-7",
"journal": "Nature Communications",
"year": 2021,
"authors": "Xu, H.; Wang, H.; Zhou, J.; Li, J.",
"abstract": "AbstractSpin current generators are critical components for spintronics-based information processing. In this work, we theoretically and computationally investigate the bulk spin photovoltaic (BSPV) effect for creating DC spin current under light illumination. The only requirement for BSPV is inversion symmetry breaking, thus it applies to a broad range of materials and can be readily integrated with existing semiconductor technologies. The BSPV effect is a cousin of the bulk photovoltaic (BPV) ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Enhanced bulk photovoltaic effect in two-dimensional ferroelectric CuInP2S6",
"doi": "10.1038/s41467-021-26200-3",
"url": "https://doi.org/10.1038/s41467-021-26200-3",
"journal": "Nature Communications",
"year": 2021,
"authors": "Li, Y.; Fu, J.; Mao, X.; Chen, C.; Liu, H.",
"abstract": "Abstract\n \n The photocurrent generation in photovoltaics relies essentially on the interface of p-n junction or Schottky barrier with the photoelectric efficiency constrained by the Shockley-Queisser limit. The recent progress has shown a promising route to surpass this limit via the bulk photovoltaic effect for crystals without inversion symmetry. Here we report the bulk photovoltaic effect in two-dimensional ferroelectric CuInP\n 2\n ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Direct observation of trap-assisted recombination in organic photovoltaic devices",
"doi": "10.1038/s41467-021-23870-x",
"url": "https://doi.org/10.1038/s41467-021-23870-x",
"journal": "Nature Communications",
"year": 2021,
"authors": "Zeiske, S.; Sandberg, O.; Zarrabi, N.; Li, W.; Meredith, P.",
"abstract": "AbstractTrap-assisted recombination caused by localised sub-gap states is one of the most important first-order loss mechanism limiting the power-conversion efficiency of all solar cells. The presence and relevance of trap-assisted recombination in organic photovoltaic devices is still a matter of some considerable ambiguity and debate, hindering the field as it seeks to deliver ever higher efficiencies and ultimately a viable new solar photovoltaic technology. In this work, we show that trap-as",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Anomalous circular bulk photovoltaic effect in BiFeO3 thin films with stripe-domain pattern",
"doi": "10.1038/s41467-020-20446-z",
"url": "https://doi.org/10.1038/s41467-020-20446-z",
"journal": "Nature Communications",
"year": 2021,
"authors": "Knoche, D.; Steimecke, M.; Yun, Y.; Mühlenbein, L.; Bhatnagar, A.",
"abstract": "AbstractMultiferroic bismuth ferrite, BiFeO3, offers a vast landscape to study the interplay between different ferrroic orders. Another aspect which is equally exciting, and yet underutilized, is the possibility of large-scale ordering of domains. Along with symmetry-driven bulk photovoltaic effect, BiFeO3 presents opportunities to conceptualize novel light-based devices. In this work, we investigate the evolution of the bulk photovoltaic effect in BiFeO3 thin films with stripe-domain pattern as",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Limited application of reflective surfaces can mitigate urban heat pollution",
"doi": "10.1038/s41467-021-23634-7",
"url": "https://doi.org/10.1038/s41467-021-23634-7",
"journal": "Nature Communications",
"year": 2021,
"authors": "Sen, S.; Khazanovich, L.",
"abstract": "AbstractElevated air temperatures in urban neighborhoods due to the Urban Heat Island effect is a form of heat pollution that causes thermal discomfort, higher energy consumption, and deteriorating public health. Mitigation measures can be expensive, with the need to maximize benefits from limited resources. Here we show that significant mitigation can be achieved through a limited application of reflective surfaces. We use a Computational Fluid Dynamics model to resolve the air temperature with",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Cooling Technologies",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Pricing indirect emissions accelerates low—carbon transition of US light vehicle sector",
"doi": "10.1038/s41467-021-27247-y",
"url": "https://doi.org/10.1038/s41467-021-27247-y",
"journal": "Nature Communications",
"year": 2021,
"authors": "Wolfram, P.; Weber, S.; Gillingham, K.; Hertwich, E.",
"abstract": "Abstract\n \n Large–scale electric vehicle adoption can greatly reduce emissions from vehicle tailpipes. However, analysts have cautioned that it can come with increased indirect emissions from electricity and battery production that are not commonly regulated by transport policies. We combine integrated energy modeling and life cycle assessment to compare optimal policy scenarios that price emissions at the tailpipe only, versus both tailpipe and indirect emiss",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Altered growth conditions more than reforestation counteracted forest biomass carbon emissions 1990–2020",
"doi": "10.1038/s41467-021-26398-2",
"url": "https://doi.org/10.1038/s41467-021-26398-2",
"journal": "Nature Communications",
"year": 2021,
"authors": "Le Noë, J.; Erb, K.; Matej, S.; Magerl, A.; Bhan, M.",
"abstract": "Abstract\n Understanding the carbon (C) balance in global forest is key for climate-change mitigation. However, land use and environmental drivers affecting global forest C fluxes remain poorly quantified. Here we show, following a counterfactual modelling approach based on global Forest Resource Assessments, that in 1990–2020 deforestation is the main driver of forest C emissions, partly counteracted by increased forest growth rates under altered conditions: In the hypothetical ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Location-specific co-benefits of carbon emissions reduction from coal-fired power plants in China",
"doi": "10.1038/s41467-021-27252-1",
"url": "https://doi.org/10.1038/s41467-021-27252-1",
"journal": "Nature Communications",
"year": 2021,
"authors": "Wang, P.; Lin, C.; Wang, Y.; Liu, D.; Song, D.",
"abstract": "AbstractClimate policies that achieve air quality co-benefits can better align developing countries’ national interests with global climate mitigation. Since the effects of air pollutants are highly dependent on source locations, spatially nuanced policies are crucial to maximizing the achievement of co-benefits. Using the coal power industry as a case study, this study presents an interdisciplinary approach to assessing facility level co-benefits at every specific source location in China. We f",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Prospective contributions of biomass pyrolysis to China’s 2050 carbon reduction and renewable energy goals",
"doi": "10.1038/s41467-021-21868-z",
"url": "https://doi.org/10.1038/s41467-021-21868-z",
"journal": "Nature Communications",
"year": 2021,
"authors": "Yang, Q.; Zhou, H.; Bartocci, P.; Fantozzi, F.; Mašek, O.",
"abstract": "AbstractRecognizing that bioenergy with carbon capture and storage (BECCS) may still take years to mature, this study focuses on another photosynthesis-based, negative-carbon technology that is readier to implement in China: biomass intermediate pyrolysis poly-generation (BIPP). Here we find that a BIPP system can be profitable without subsidies, while its national deployment could contribute to a 61% reduction of carbon emissions per unit of gross domestic product in 2030 compared to 2005 and r",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Negative Emission Technologies",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation",
"doi": "10.1038/s41467-021-25720-2",
"url": "https://doi.org/10.1038/s41467-021-25720-2",
"journal": "Nature Communications",
"year": 2021,
"authors": "Joshi, S.; Mittal, S.; Holloway, P.; Shukla, P.; Ó Gallachóir, B.",
"abstract": "AbstractRooftop solar photovoltaics currently account for 40% of the global solar photovoltaics installed capacity and one-fourth of the total renewable capacity additions in 2018. Yet, only limited information is available on its global potential and associated costs at a high spatiotemporal resolution. Here, we present a high-resolution global assessment of rooftop solar photovoltaics potential using big data, machine learning and geospatial analysis. We analyse 130 million km2of global land s",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A flexible electromagnetic wave-electricity harvester",
"doi": "10.1038/s41467-021-21103-9",
"url": "https://doi.org/10.1038/s41467-021-21103-9",
"journal": "Nature Communications",
"year": 2021,
"authors": "Lv, H.; Yang, Z.; Liu, B.; Wu, G.; Lou, Z.",
"abstract": "AbstractDeveloping an ultimate electromagnetic (EM)-absorbing material that can not only dissipate EM energy but also convert the generated heat into electricity is highly desired but remains a significant challenge. Here, we report a hybrid Sn@C composite with a biological cell-like splitting ability to address this challenge. The composite consisting of Sn nanoparticles embedded within porous carbon would split under a cycled annealing treatment, leading to more dispersed nanoparticles with an",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts of long-term temperature change and variability on electricity investments",
"doi": "10.1038/s41467-021-21785-1",
"url": "https://doi.org/10.1038/s41467-021-21785-1",
"journal": "Nature Communications",
"year": 2021,
"authors": "Khan, Z.; Iyer, G.; Patel, P.; Kim, S.; Hejazi, M.",
"abstract": "AbstractLong-term temperature change and variability are expected to have significant impacts on future electric capacity and investments. This study improves upon past studies by accounting for hourly and monthly dynamics of electricity use, long-term socioeconomic drivers, and interactions of the electric sector with rest of the economy for a comprehensive analysis of temperature change impacts on cooling and heating services and their corresponding impact on electric capacity and investments.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Large uncertainties in trends of energy demand for heating and cooling under climate change",
"doi": "10.1038/s41467-021-25504-8",
"url": "https://doi.org/10.1038/s41467-021-25504-8",
"journal": "Nature Communications",
"year": 2021,
"authors": "Deroubaix, A.; Labuhn, I.; Camredon, M.; Gaubert, B.; Monerie, P.",
"abstract": "AbstractThe energy demand for heating and cooling buildings is changing with global warming. Using proxies of climate-driven energy demand based on the heating and cooling Degree-Days methodology applied to thirty global climate model simulations, we show that, over all continental areas, the climate-driven energy demand trends for heating and cooling were weak, changing by less than 10% from 1950 to 1990, but become stronger from 1990 to 2030, changing by more than 10%. With the multi-model mea",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A small climate-amplifying effect of climate-carbon cycle feedback",
"doi": "10.1038/s41467-021-22392-w",
"url": "https://doi.org/10.1038/s41467-021-22392-w",
"journal": "Nature Communications",
"year": 2021,
"authors": "Zhang, X.; Wang, Y.; Rayner, P.; Ciais, P.; Huang, K.",
"abstract": "AbstractThe climate-carbon cycle feedback is one of the most important climate-amplifying feedbacks of the Earth system, and is quantified as a function of carbon-concentration feedback parameter (β) and carbon-climate feedback parameter (γ). However, the global climate-amplifying effect from this feedback loop (determined by the gain factor, g) has not been quantified from observations. Here we apply a Fourier analysis-based carbon cycle feedback framework to the reconstructed records from 1850",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Linear reinforcement learning in planning, grid fields, and cognitive control",
"doi": "10.1038/s41467-021-25123-3",
"url": "https://doi.org/10.1038/s41467-021-25123-3",
"journal": "Nature Communications",
"year": 2021,
"authors": "Piray, P.; Daw, N.",
"abstract": "Abstract\n It is thought that the brain’s judicious reuse of previous computation underlies our ability to plan flexibly, but also that inappropriate reuse gives rise to inflexibilities like habits and compulsion. Yet we lack a complete, realistic account of either. Building on control engineering, here we introduce a model for decision making in the brain that reuses a temporally abstracted map of future events to enable biologically-realistic, flexible choice at the expense of ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Perineuronal nets stabilize the grid cell network",
"doi": "10.1038/s41467-020-20241-w",
"url": "https://doi.org/10.1038/s41467-020-20241-w",
"journal": "Nature Communications",
"year": 2021,
"authors": "Christensen, A.; Lensjø, K.; Lepperød, M.; Dragly, S.; Sutterud, H.",
"abstract": "Abstract\n Grid cells are part of a widespread network which supports navigation and spatial memory. Stable grid patterns appear late in development, in concert with extracellular matrix aggregates termed perineuronal nets (PNNs) that condense around inhibitory neurons. It has been suggested that PNNs stabilize synaptic connections and long-term memories, but their role in the grid cell network remains elusive. We show that removal of PNNs leads to lower inhibitory spiking activi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Global coastal attenuation of wind-waves observed with radar altimetry",
"doi": "10.1038/s41467-021-23982-4",
"url": "https://doi.org/10.1038/s41467-021-23982-4",
"journal": "Nature Communications",
"year": 2021,
"authors": "Passaro, M.; Hemer, M.; Quartly, G.; Schwatke, C.; Dettmering, D.",
"abstract": "AbstractCoastal studies of wave climate and evaluations of wave energy resources are mainly regional and based on the use of computationally very expensive models or a network of in-situ data. Considering the significant wave height, satellite radar altimetry provides an established global and relatively long-term source, whose coastal data are nevertheless typically flagged as unreliable within 30 km of the coast. This study exploits the reprocessing of the radar altimetry signals with a dedica",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electrochemical energy storage performance of 2D nanoarchitectured hybrid materials",
"doi": "10.1038/s41467-021-23819-0",
"url": "https://doi.org/10.1038/s41467-021-23819-0",
"journal": "Nature Communications",
"year": 2021,
"authors": "Wang, J.; Malgras, V.; Sugahara, Y.; Yamauchi, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Interstitial boron-doped mesoporous semiconductor oxides for ultratransparent energy storage",
"doi": "10.1038/s41467-020-20352-4",
"url": "https://doi.org/10.1038/s41467-020-20352-4",
"journal": "Nature Communications",
"year": 2021,
"authors": "Zhi, J.; Zhou, M.; Zhang, Z.; Reiser, O.; Huang, F.",
"abstract": "AbstractRealizing transparent and energy-dense supercapacitor is highly challenging, as there is a trade-off between energy storing capability and transparency in the active material film. We report here that interstitial boron-doped mesoporous semiconductor oxide shows exceptional electrochemical capacitance which rivals other pseudocapacitive materials, while maintaining its transparent characteristic. This improvement is credited to the robust redox reactions at interstitial boron-associated ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Interstitial boron-doped mesoporous semiconductor oxides for ultratransparent energy storage",
"doi": "10.1038/s41467-021-21705-3",
"url": "https://doi.org/10.1038/s41467-021-21705-3",
"journal": "Nature Communications",
"year": 2021,
"authors": "Zhi, J.; Zhou, M.; Zhang, Z.; Reiser, O.; Huang, F.",
"abstract": "A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-21705-3",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Alternative carbon price trajectories can avoid excessive carbon removal",
"doi": "10.1038/s41467-021-22211-2",
"url": "https://doi.org/10.1038/s41467-021-22211-2",
"journal": "Nature Communications",
"year": 2021,
"authors": "Strefler, J.; Kriegler, E.; Bauer, N.; Luderer, G.; Pietzcker, R.",
"abstract": "AbstractThe large majority of climate change mitigation scenarios that hold warming below 2 °C show high deployment of carbon dioxide removal (CDR), resulting in a peak-and-decline behavior in global temperature. This is driven by the assumption of an exponentially increasing carbon price trajectory which is perceived to be economically optimal for meeting a carbon budget. However, this optimality relies on the assumption that a finite carbon budget associated with a temperature target is filled",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators",
"doi": "10.1038/s41467-021-26182-2",
"url": "https://doi.org/10.1038/s41467-021-26182-2",
"journal": "Nature Communications",
"year": 2021,
"authors": "Qin, B.; Zhao, L.; Lin, W.",
"abstract": "AbstractBiorhythm including neuron firing and protein-mRNA interaction are fundamental activities with diffusive effect. Their well-balanced spatiotemporal dynamics are beneficial for healthy sustainability. Therefore, calibrating both anomalous frequency and amplitude of biorhythm prevents physiological dysfunctions or diseases. However, many works were devoted to modulate frequency exclusively whereas amplitude is usually ignored, although both quantities are equally significant for coordinati",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Past and future trends of Egypt’s water consumption and its sources",
"doi": "10.1038/s41467-021-24747-9",
"url": "https://doi.org/10.1038/s41467-021-24747-9",
"journal": "Nature Communications",
"year": 2021,
"authors": "Nikiel, C.; Eltahir, E.",
"abstract": "AbstractFor millennia the Nile supplied Egypt with more water than needed. As the population grew and the economy expanded, demand on water increased accordingly. Here, we present a comprehensive analysis to reconstruct how total demand on water outstripped supply of the Nile water in the late 1970s, starting from a surplus of about 20 km3 per year in the 1960s leading to a deficit of about 40 km3 per year by the late 2010s. The gap is satisfied by import of virtual water. The role of economic g",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On-demand synthesis of phosphoramidites",
"doi": "10.1038/s41467-021-22945-z",
"url": "https://doi.org/10.1038/s41467-021-22945-z",
"journal": "Nature Communications",
"year": 2021,
"authors": "Sandahl, A.; Nguyen, T.; Hansen, R.; Johansen, M.; Skrydstrup, T.",
"abstract": "Abstract\n Automated chemical synthesis of oligonucleotides is of fundamental importance for the production of primers for the polymerase chain reaction (PCR), for oligonucleotide-based drugs, and for numerous other medical and biotechnological applications. The highly optimised automised chemical oligonucleotide synthesis relies upon phosphoramidites as the phosphate precursors and one of the drawbacks of this technology is the poor bench stability of phosphoramidites. Here, we ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ecosystem energy exchange",
"doi": "10.1038/s41558-021-01078-7",
"url": "https://doi.org/10.1038/s41558-021-01078-7",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Armarego-Marriott, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Plausible energy demand patterns in a growing global economy with climate policy",
"doi": "10.1038/s41558-020-00975-7",
"url": "https://doi.org/10.1038/s41558-020-00975-7",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Semieniuk, G.; Taylor, L.; Rezai, A.; Foley, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Sources of uncertainty in long-term global scenarios of solar photovoltaic technology",
"doi": "10.1038/s41558-021-00998-8",
"url": "https://doi.org/10.1038/s41558-021-00998-8",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Jaxa-Rozen, M.; Trutnevyte, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Drivers of photovoltaic uncertainty",
"doi": "10.1038/s41558-021-01002-z",
"url": "https://doi.org/10.1038/s41558-021-01002-z",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Eker, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
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{
"title": "Asymmetry in the climate–carbon cycle response to positive and negative CO2 emissions",
"doi": "10.1038/s41558-021-01061-2",
"url": "https://doi.org/10.1038/s41558-021-01061-2",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Zickfeld, K.; Azevedo, D.; Mathesius, S.; Matthews, H.",
"abstract": "",
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{
"title": "Climate change impacts on renewable energy supply",
"doi": "10.1038/s41558-020-00949-9",
"url": "https://doi.org/10.1038/s41558-020-00949-9",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Gernaat, D.; de Boer, H.; Daioglou, V.; Yalew, S.; Müller, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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{
"title": "Author Correction: Climate change impacts on renewable energy supply",
"doi": "10.1038/s41558-021-01005-w",
"url": "https://doi.org/10.1038/s41558-021-01005-w",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Gernaat, D.; de Boer, H.; Daioglou, V.; Yalew, S.; Müller, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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{
"title": "COVID-19-induced low power demand and market forces starkly reduce CO2 emissions",
"doi": "10.1038/s41558-021-00987-x",
"url": "https://doi.org/10.1038/s41558-021-00987-x",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Bertram, C.; Luderer, G.; Creutzig, F.; Bauer, N.; Ueckerdt, F.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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{
"title": "Demand-side solutions to climate change mitigation consistent with high levels of well-being",
"doi": "10.1038/s41558-021-01219-y",
"url": "https://doi.org/10.1038/s41558-021-01219-y",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Creutzig, F.; Niamir, L.; Bai, X.; Callaghan, M.; Cullen, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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},
{
"title": "Uncertain storage prospects create a conundrum for carbon capture and storage ambitions",
"doi": "10.1038/s41558-021-01175-7",
"url": "https://doi.org/10.1038/s41558-021-01175-7",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Lane, J.; Greig, C.; Garnett, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A proposed global layout of carbon capture and storage in line with a 2 °C climate target",
"doi": "10.1038/s41558-020-00960-0",
"url": "https://doi.org/10.1038/s41558-020-00960-0",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Wei, Y.; Kang, J.; Liu, L.; Li, Q.; Wang, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Carbon tariffs",
"doi": "10.1038/s41558-021-01052-3",
"url": "https://doi.org/10.1038/s41558-021-01052-3",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
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},
{
"title": "Publisher Correction: Carbon tariffs",
"doi": "10.1038/s41558-021-01082-x",
"url": "https://doi.org/10.1038/s41558-021-01082-x",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Yan, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Some countries donate blue carbon",
"doi": "10.1038/s41558-021-01103-9",
"url": "https://doi.org/10.1038/s41558-021-01103-9",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Luisetti, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Eastern equatorial Pacific warming delayed by aerosols and thermostat response to CO2 increase",
"doi": "10.1038/s41558-021-01101-x",
"url": "https://doi.org/10.1038/s41558-021-01101-x",
"journal": "Nature Climate Change",
"year": 2021,
"authors": "Heede, U.; Fedorov, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
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"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Application of large-scale grid-connected solar photovoltaic system for voltage stability improvement of weak national grids",
"doi": "10.1038/s41598-021-04300-w",
"url": "https://doi.org/10.1038/s41598-021-04300-w",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Adetokun, B.; Ojo, J.; Muriithi, C.",
"abstract": "AbstractThis paper investigates the application of large-scale solar photovoltaic (SPV) system for voltage stability improvement of weak national grids. Large-scale SPV integration has been investigated on the Nigerian power system to enhance voltage stability and as a viable alternative to the aged shunt reactors currently being used in the Nigerian national grid to mitigate overvoltage issues in Northern Nigeria. Two scenarios of increasing SPV penetration level (PL) are investigated in this w",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Water, energy and climate benefits of urban greening throughout Europe under different climatic scenarios",
"doi": "10.1038/s41598-021-88141-7",
"url": "https://doi.org/10.1038/s41598-021-88141-7",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Quaranta, E.; Dorati, C.; Pistocchi, A.",
"abstract": "AbstractUrban greening is an effective mitigation option for climate change in urban areas. In this contribution, a European Union (EU)-wide assessment is presented to quantify the benefits of urban greening in terms of availability of green water, reduction of cooling costs and CO2 sequestration from the atmosphere, for different climatic scenarios. Results show that greening of 35% of the EU’s urban surface (i.e. more than 26,000 km2) would avoid up to 55.8 Mtons year−1 CO2 equivalent of green",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Influence of wind energy utilization potential in urban suburbs: a case study of Hohhot",
"doi": "10.1038/s41598-021-90499-7",
"url": "https://doi.org/10.1038/s41598-021-90499-7",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Wenxin, W.; Kexin, C.; Yang, B.; Yun, X.; Jianwen, W.",
"abstract": "AbstractGiven the increasing trend of using wind energy in cities, the utilization of distributed wind energy in cities has been widely concerned by researchers. The related research on the micro-site selection of wind turbines, a sub-project of the Task27 project of the International energy agency, was continued in this paper. The wind speed data of an observation station near Hohhot, Inner Mongolia, with a range of 10–19 m were collected. The evaluation included wind direction, Weibull paramet",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Estimation of carbon dioxide emissions from the megafires of Australia in 2019–2020",
"doi": "10.1038/s41598-021-87721-x",
"url": "https://doi.org/10.1038/s41598-021-87721-x",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Shiraishi, T.; Hirata, R.",
"abstract": "AbstractCatastrophic fires occurred in Australia between 2019 and 2020. These fires burned vast areas and caused extensive damage to the environment and wildlife. In this study, we estimated the carbon dioxide (CO2) emissions from these fires using a bottom-up method involving the improved burnt area approach and up-to-date remote sensing datasets to create monthly time series distribution maps for Australia from January 2019 to February 2020. The highest monthly CO2 emissions in Australia since",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Analyzing climate change impacts on health, energy, water resources, and biodiversity sectors for effective climate change policy in South Korea",
"doi": "10.1038/s41598-021-97108-7",
"url": "https://doi.org/10.1038/s41598-021-97108-7",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Moon, T.; Chae, Y.; Lee, D.; Kim, D.; Kim, H.",
"abstract": "AbstractThis study analyzes how climate change affects the economy, society, and environment in South Korea. Then, the study explores the ways to strengthen capabilities that can alleviate climate change impacts. To find them, the study employs a system dynamics simulation method and builds a model with several sectors including the urban, rural, population, and social-environmental sectors. The study compares the size of climate change damages in rural and urban areas. The results with represen",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Accelerating deployment of offshore wind energy alter wind climate and reduce future power generation potentials",
"doi": "10.1038/s41598-021-91283-3",
"url": "https://doi.org/10.1038/s41598-021-91283-3",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Akhtar, N.; Geyer, B.; Rockel, B.; Sommer, P.; Schrum, C.",
"abstract": "AbstractThe European Union has set ambitious CO2 reduction targets, stimulating renewable energy production and accelerating deployment of offshore wind energy in northern European waters, mainly the North Sea. With increasing size and clustering, offshore wind farms (OWFs) wake effects, which alter wind conditions and decrease the power generation efficiency of wind farms downwind become more important. We use a high-resolution regional climate model with implemented wind farm parameterizations",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Accelerating deployment of offshore wind energy alter wind climate and reduce future power generation potentials",
"doi": "10.1038/s41598-021-97055-3",
"url": "https://doi.org/10.1038/s41598-021-97055-3",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Akhtar, N.; Geyer, B.; Rockel, B.; Sommer, P.; Schrum, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A robust multiple-objective decision-making paradigm based on the water–energy–food security nexus under changing climate uncertainties",
"doi": "10.1038/s41598-021-99637-7",
"url": "https://doi.org/10.1038/s41598-021-99637-7",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Enayati, M.; Bozorg-Haddad, O.; Fallah-Mehdipour, E.; Zolghadr-Asli, B.; Chu, X.",
"abstract": "AbstractFrom the perspective of the water–energy–food (WEF) security nexus, sustainable water-related infrastructure may hinge on multi-dimensional decision-making, which is subject to some level of uncertainties imposed by internal or external sources such as climate change. It is important to note that the impact of this phenomenon is not solely limited to the changing behavior patterns of hydro-climatic variables since it can also affect the other pillars of the WEF nexus both directly and in",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Wind energy potential assessment based on wind speed, its direction and power data",
"doi": "10.1038/s41598-021-96376-7",
"url": "https://doi.org/10.1038/s41598-021-96376-7",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Wang, Z.; Liu, W.",
"abstract": "Abstract\n \n Based on wind speed, direction and power data, an assessment method of wind energy potential using finite mixture statistical distributions is proposed. Considering the correlation existing and the effect between wind speed and direction, the angular-linear modeling approach is adopted to construct the joint probability density function of wind speed and direction. For modeling the distribution of wind power density and estimating model parameters ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Controlled synthesis of various Fe2O3 morphologies as energy storage materials",
"doi": "10.1038/s41598-021-84755-z",
"url": "https://doi.org/10.1038/s41598-021-84755-z",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Hang, B.; Anh, T.",
"abstract": "AbstractAir pollution from vehicle emissions is a major problem in developing countries. Consequently, the use of iron-based rechargeable batteries, which is an effective method of reducing air pollution, have been extensively studied for electric vehicles. The structures and morphologies of iron particles significantly affect the cycle performance of iron-based rechargeable batteries. The synthesis parameters for these iron materials also remarkably influence their structures, shapes, sizes, an",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Geomechanical simulation of energy storage in salt formations",
"doi": "10.1038/s41598-021-99161-8",
"url": "https://doi.org/10.1038/s41598-021-99161-8",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Ramesh Kumar, K.; Makhmutov, A.; Spiers, C.; Hajibeygi, H.",
"abstract": "AbstractA promising option for storing large-scale quantities of green gases (e.g., hydrogen) is in subsurface rock salt caverns. The mechanical performance of salt caverns utilized for long-term subsurface energy storage plays a significant role in long-term stability and serviceability. However, rock salt undergoes non-linear creep deformation due to long-term loading caused by subsurface storage. Salt caverns have complex geometries and the geological domain surrounding salt caverns has a vas",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy budget and carbon footprint in a wheat and maize system under ridge furrow strategy in dry semi humid areas",
"doi": "10.1038/s41598-021-88717-3",
"url": "https://doi.org/10.1038/s41598-021-88717-3",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Li, C.; Li, S.",
"abstract": "AbstractThe well-irrigated planting strategy (WI) consumes a large amount of energy and exacerbates greenhouse gas emissions, endangering the sustainable agricultural production. This 2-year work aims to estimate the economic benefit, energy budget and carbon footprint of a wheat–maize double cropping system under conventional rain-fed flat planting (irrigation once a year, control), ridge–furrows with plastic film mulching on the ridge (irrigation once a year, RP), and the WI in dry semi-humid ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Wild meat consumption in tropical forests spares a significant carbon footprint from the livestock production sector",
"doi": "10.1038/s41598-021-98282-4",
"url": "https://doi.org/10.1038/s41598-021-98282-4",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Nunes, A.; Peres, C.; Constantino, P.; Fischer, E.; Nielsen, M.",
"abstract": "AbstractWhether sustainable or not, wild meat consumption is a reality for millions of tropical forest dwellers. Yet estimates of spared greenhouse gas (GHG) emissions from consuming wild meat, rather than protein from the livestock sector, have not been quantified. We show that a mean per capita wild meat consumption of 41.7 kg yr−1 for a population of ~ 150,000 residents at 49 Amazonian and Afrotropical forest sites can spare ~ 71 MtCO2-eq annually under a bovine beef substitution scenario, bu",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Adaptive optimal allocation of water resources response to future water availability and water demand in the Han River basin, China",
"doi": "10.1038/s41598-021-86961-1",
"url": "https://doi.org/10.1038/s41598-021-86961-1",
"journal": "Scientific Reports",
"year": 2021,
"authors": "Tian, J.; Guo, S.; Deng, L.; Yin, J.; Pan, Z.",
"abstract": "AbstractGlobal warming and anthropogenic changes can result in the heterogeneity of water availability in the spatiotemporal scale, which will further affect the allocation of water resources. A lot of researches have been devoted to examining the responses of water availability to global warming while neglected future anthropogenic changes. What’s more, only a few studies have investigated the response of optimal allocation of water resources to the projected climate and anthropogenic changes. ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ultrahigh Electricity Generation from Low-Frequency Mechanical Energy by Efficient Energy Management",
"doi": "10.1016/j.joule.2020.12.023",
"url": "https://doi.org/10.1016/j.joule.2020.12.023",
"journal": "Joule",
"year": 2021,
"authors": "Wang, Z.; Liu, W.; He, W.; Guo, H.; Long, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids",
"doi": "10.1016/j.joule.2021.06.018",
"url": "https://doi.org/10.1016/j.joule.2021.06.018",
"journal": "Joule",
"year": 2021,
"authors": "Hunter, C.; Penev, M.; Reznicek, E.; Eichman, J.; Rustagi, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Adiabatic compressed air energy storage technology",
"doi": "10.1016/j.joule.2021.07.009",
"url": "https://doi.org/10.1016/j.joule.2021.07.009",
"journal": "Joule",
"year": 2021,
"authors": "Barbour, E.; Pottie, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Monitoring of Photovoltaic System Performance Using Outdoor Suns-VOC",
"doi": "10.1016/j.joule.2020.11.007",
"url": "https://doi.org/10.1016/j.joule.2020.11.007",
"journal": "Joule",
"year": 2021,
"authors": "Killam, A.; Karas, J.; Augusto, A.; Bowden, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Accurate photovoltaic measurement of organic cells for indoor applications",
"doi": "10.1016/j.joule.2021.03.029",
"url": "https://doi.org/10.1016/j.joule.2021.03.029",
"journal": "Joule",
"year": 2021,
"authors": "Cui, Y.; Hong, L.; Zhang, T.; Meng, H.; Yan, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A large-sized cell for solar-driven CO2 conversion with a solar-to-formate conversion efficiency of 7.2%",
"doi": "10.1016/j.joule.2021.01.002",
"url": "https://doi.org/10.1016/j.joule.2021.01.002",
"journal": "Joule",
"year": 2021,
"authors": "Kato, N.; Mizuno, S.; Shiozawa, M.; Nojiri, N.; Kawai, Y.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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},
{
"title": "Tandem solar cells beyond perovskite-silicon",
"doi": "10.1016/j.joule.2021.08.009",
"url": "https://doi.org/10.1016/j.joule.2021.08.009",
"journal": "Joule",
"year": 2021,
"authors": "Weiss, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Rwanda’s Off-Grid Solar Performance Targets",
"doi": "10.1016/j.joule.2020.12.016",
"url": "https://doi.org/10.1016/j.joule.2020.12.016",
"journal": "Joule",
"year": 2021,
"authors": "Asemota, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Building and grid system benefits of demand flexibility and energy efficiency",
"doi": "10.1016/j.joule.2021.08.001",
"url": "https://doi.org/10.1016/j.joule.2021.08.001",
"journal": "Joule",
"year": 2021,
"authors": "Jackson, R.; Zhou, E.; Reyna, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "US building energy efficiency and flexibility as an electric grid resource",
"doi": "10.1016/j.joule.2021.06.002",
"url": "https://doi.org/10.1016/j.joule.2021.06.002",
"journal": "Joule",
"year": 2021,
"authors": "Langevin, J.; Harris, C.; Satre-Meloy, A.; Chandra-Putra, H.; Speake, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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},
{
"title": "Mission net-zero America: The nation-building path to a prosperous, net-zero emissions economy",
"doi": "10.1016/j.joule.2021.10.016",
"url": "https://doi.org/10.1016/j.joule.2021.10.016",
"journal": "Joule",
"year": 2021,
"authors": "Jenkins, J.; Mayfield, E.; Larson, E.; Pacala, S.; Greig, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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},
{
"title": "A self-learning circuit diagram for optimal water and energy management",
"doi": "10.1016/j.joule.2021.08.010",
"url": "https://doi.org/10.1016/j.joule.2021.08.010",
"journal": "Joule",
"year": 2021,
"authors": "Bui, N.; Urban, J.",
"abstract": "",
"data_url": "",
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"year": 2021,
"authors": "Xia, Q.; Chen, C.; Li, T.; He, S.; Gao, J.",
"abstract": "Patternable transparent wood with a high transmittance is fabricated via a solar-assisted chemical brushing approach.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The climate and health benefits from intensive building energy efficiency improvements",
"doi": "10.1126/sciadv.abg0947",
"url": "https://doi.org/10.1126/sciadv.abg0947",
"journal": "Science Advances",
"year": 2021,
"authors": "Gillingham, K.; Huang, P.; Buehler, C.; Peccia, J.; Gentner, D.",
"abstract": "Building energy efficiency improvements reduce emissions and premature mortality but require attention to indoor air quality.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Large historical carbon emissions from cultivated northern peatlands",
"doi": "10.1126/sciadv.abf1332",
"url": "https://doi.org/10.1126/sciadv.abf1332",
"journal": "Science Advances",
"year": 2021,
"authors": "Qiu, C.; Ciais, P.; Zhu, D.; Guenet, B.; Peng, S.",
"abstract": "\n When a peatland is drained and cultivated, it behaves as a notable source of CO\n 2\n . However, we lack temporally and spatially explicit estimates of carbon losses from cultivated peatlands. Using a process-based land surface model that explicitly includes representation of peatland processes, we estimate that northern peatlands converted to croplands emitted 72 Pg C over 850–2010, with 45% of this source having occurred before 1750. This source surpassed the c",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Calcification-driven CO\n 2\n emissions exceed “Blue Carbon” sequestration in a carbonate seagrass meadow",
"doi": "10.1126/sciadv.abj1372",
"url": "https://doi.org/10.1126/sciadv.abj1372",
"journal": "Science Advances",
"year": 2021,
"authors": "Van Dam, B.; Zeller, M.; Lopes, C.; Smyth, A.; Böttcher, M.",
"abstract": "\n Rigorous carbon accounting shows that calcification-driven CO\n 2\n emissions can exceed seagrass “Blue Carbon” storage.\n ",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Carbon Asset Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increasing forest fire emissions despite the decline in global burned area",
"doi": "10.1126/sciadv.abh2646",
"url": "https://doi.org/10.1126/sciadv.abh2646",
"journal": "Science Advances",
"year": 2021,
"authors": "Zheng, B.; Ciais, P.; Chevallier, F.; Chuvieco, E.; Chen, Y.",
"abstract": "Global fire emissions have been rather stable over the past two decades despite a substantial decline in global burned area.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The geographic disparity of historical greenhouse emissions and projected climate change",
"doi": "10.1126/sciadv.abe4342",
"url": "https://doi.org/10.1126/sciadv.abe4342",
"journal": "Science Advances",
"year": 2021,
"authors": "Van Houtan, K.; Tanaka, K.; Gagné, T.; Becker, S.",
"abstract": "A new global climate map reveals steep inequalities between historical emissions and future warming.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "More than 1000 rivers account for 80% of global riverine plastic emissions into the ocean",
"doi": "10.1126/sciadv.aaz5803",
"url": "https://doi.org/10.1126/sciadv.aaz5803",
"journal": "Science Advances",
"year": 2021,
"authors": "Meijer, L.; van Emmerik, T.; van der Ent, R.; Schmidt, C.; Lebreton, L.",
"abstract": "More than 1000 rivers account for most plastic emissions, ranging from small urban drains to large rivers.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Structural tuning of heterogeneous molecular catalysts for electrochemical energy conversion",
"doi": "10.1126/sciadv.abf3989",
"url": "https://doi.org/10.1126/sciadv.abf3989",
"journal": "Science Advances",
"year": 2021,
"authors": "Wang, J.; Dou, S.; Wang, X.",
"abstract": "The structural tuning of first and second coordination spheres of heterogeneous molecular catalysts is reviewed.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Nanoscale optical writing through upconversion resonance energy transfer",
"doi": "10.1126/sciadv.abe2209",
"url": "https://doi.org/10.1126/sciadv.abe2209",
"journal": "Science Advances",
"year": 2021,
"authors": "Lamon, S.; Wu, Y.; Zhang, Q.; Liu, X.; Gu, M.",
"abstract": "Resonance energy transfer from upconversion nanoparticles induces the reduction in graphene oxide for nanoscale optical writing.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Controlling electrochemical growth of metallic zinc electrodes: Toward affordable rechargeable energy storage systems",
"doi": "10.1126/sciadv.abe0219",
"url": "https://doi.org/10.1126/sciadv.abe0219",
"journal": "Science Advances",
"year": 2021,
"authors": "Zheng, J.; Archer, L.",
"abstract": "Zinc anodes are a powerful platform for understanding metal deposition and for low-cost electrical energy storage.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantum key distribution with entangled photons generated on demand by a quantum dot",
"doi": "10.1126/sciadv.abe6379",
"url": "https://doi.org/10.1126/sciadv.abe6379",
"journal": "Science Advances",
"year": 2021,
"authors": "Basso Basset, F.; Valeri, M.; Roccia, E.; Muredda, V.; Poderini, D.",
"abstract": "Quantum key distribution is demonstrated over an urban open-air link using entangled light from a semiconductor nanostructure.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Liquid crystal–based open surface microfluidics manipulate liquid mobility and chemical composition on demand",
"doi": "10.1126/sciadv.abi7607",
"url": "https://doi.org/10.1126/sciadv.abi7607",
"journal": "Science Advances",
"year": 2021,
"authors": "Xu, Y.; Rather, A.; Yao, Y.; Fang, J.; Mamtani, R.",
"abstract": "Liquid crystal surfaces enable manipulation of liquid mobility and cargo release via temperature, electrolytes, and light.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "On-demand biomanufacturing of protective conjugate vaccines",
"doi": "10.1126/sciadv.abe9444",
"url": "https://doi.org/10.1126/sciadv.abe9444",
"journal": "Science Advances",
"year": 2021,
"authors": "Stark, J.; Jaroentomeechai, T.; Moeller, T.; Hershewe, J.; Warfel, K.",
"abstract": "In vitro conjugate vaccine expression technology enables rapid and portable biosynthesis of protective antibacterial vaccines.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Asymmetry of extreme Cenozoic climate–carbon cycle events",
"doi": "10.1126/sciadv.abg6864",
"url": "https://doi.org/10.1126/sciadv.abg6864",
"journal": "Science Advances",
"year": 2021,
"authors": "Arnscheidt, C.; Rothman, D.",
"abstract": "Asymmetric bias toward abrupt global warming events occurs throughout most of the past 66 million years.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Theta oscillations coordinate grid-like representations between ventromedial prefrontal and entorhinal cortex",
"doi": "10.1126/sciadv.abj0200",
"url": "https://doi.org/10.1126/sciadv.abj0200",
"journal": "Science Advances",
"year": 2021,
"authors": "Chen, D.; Kunz, L.; Lv, P.; Zhang, H.; Zhou, W.",
"abstract": "Human iEEG reveals synchronous theta oscillations and coordinated grid-like representations between vmPFC and entorhinal cortex.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Optogenetic pacing of medial septum parvalbumin-positive cells disrupts temporal but not spatial firing in grid cells",
"doi": "10.1126/sciadv.abd5684",
"url": "https://doi.org/10.1126/sciadv.abd5684",
"journal": "Science Advances",
"year": 2021,
"authors": "Lepperød, M.; Christensen, A.; Lensjø, K.; Buccino, A.; Yu, J.",
"abstract": "Spatial code of grid cells is independent of theta oscillations and phase precession.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Dynamic thermal trapping enables cross-species smart nanoparticle swarms",
"doi": "10.1126/sciadv.abe3184",
"url": "https://doi.org/10.1126/sciadv.abe3184",
"journal": "Science Advances",
"year": 2021,
"authors": "Li, T.; Chan, K.; Ding, T.; Wang, X.; Cheng, Y.",
"abstract": "Smart nanoparticle swarm allows dynamic multimaterials integration to access distinctive functions.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Solution-shearing of dielectric polymer with high thermal conductivity and electric insulation",
"doi": "10.1126/sciadv.abi7410",
"url": "https://doi.org/10.1126/sciadv.abi7410",
"journal": "Science Advances",
"year": 2021,
"authors": "Li, Z.; An, L.; Khuje, S.; Tan, J.; Hu, Y.",
"abstract": "We obtain a promising thermal conductive electric insulation material by gel shearing of polyethylene.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Scale of oceanic eddy killing by wind from global satellite observations",
"doi": "10.1126/sciadv.abf4920",
"url": "https://doi.org/10.1126/sciadv.abf4920",
"journal": "Science Advances",
"year": 2021,
"authors": "Rai, S.; Hecht, M.; Maltrud, M.; Aluie, H.",
"abstract": "While wind is the primary driver of the oceanic general circulation, it kills the ocean’s most energetic motions.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ignitions explain more than temperature or precipitation in driving Santa Ana wind fires",
"doi": "10.1126/sciadv.abh2262",
"url": "https://doi.org/10.1126/sciadv.abh2262",
"journal": "Science Advances",
"year": 2021,
"authors": "Keeley, J.; Guzman-Morales, J.; Gershunov, A.; Syphard, A.; Cayan, D.",
"abstract": "Temperature and precipitation play less of a role in predicting area burned compared to wind speed and number of ignitions.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electrochemical DNA synthesis and sequencing on a single electrode with scalability for integrated data storage",
"doi": "10.1126/sciadv.abk0100",
"url": "https://doi.org/10.1126/sciadv.abk0100",
"journal": "Science Advances",
"year": 2021,
"authors": "Xu, C.; Ma, B.; Gao, Z.; Dong, X.; Zhao, C.",
"abstract": "DNA synthesis and sequencing on a single electrode enables integrated data storage using a sliding microarray chip.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Leveling the cost and carbon footprint of circular polymers that are chemically recycled to monomer",
"doi": "10.1126/sciadv.abf0187",
"url": "https://doi.org/10.1126/sciadv.abf0187",
"journal": "Science Advances",
"year": 2021,
"authors": "Vora, N.; Christensen, P.; Demarteau, J.; Baral, N.; Keasling, J.",
"abstract": "While not yet competitive with commodity polymers, PDKs are recycled to monomer at lower cost and emissions than virgin resins.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Fatigue in assemblies of indefatigable carbon nanotubes",
"doi": "10.1126/sciadv.abj6996",
"url": "https://doi.org/10.1126/sciadv.abj6996",
"journal": "Science Advances",
"year": 2021,
"authors": "Gupta, N.; Penev, E.; Yakobson, B.",
"abstract": "Fatigue in nanotube assemblies happens much more readily at tube-tube interfaces rather than inside their walls.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Southern Ocean anthropogenic carbon sink constrained by sea surface salinity",
"doi": "10.1126/sciadv.abd5964",
"url": "https://doi.org/10.1126/sciadv.abd5964",
"journal": "Science Advances",
"year": 2021,
"authors": "Terhaar, J.; Frölicher, T.; Joos, F.",
"abstract": "Observed sea surface salinity constrains past and future anthropogenic carbon uptake in the Southern Ocean.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK",
"doi": "10.1038/s41597-020-00739-0",
"url": "https://doi.org/10.1038/s41597-020-00739-0",
"journal": "Scientific Data",
"year": 2020,
"authors": "Stowell, D.; Kelly, J.; Tanner, D.; Taylor, J.; Jones, E.",
"abstract": "AbstractSolar photovoltaic (PV) is an increasingly significant fraction of electricity generation. Efficient management, and innovations such as short-term forecasting and machine vision, demand high-resolution geographic datasets of PV installations. However, official and public sources have notable deficiencies: spatial imprecision, gaps in coverage and lack of crucial meta data, especially for small-scale solar panel installations. We present the results of a major crowd-sourcing campaign to ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A synthetic energy dataset for non-intrusive load monitoring in households",
"doi": "10.1038/s41597-020-0434-6",
"url": "https://doi.org/10.1038/s41597-020-0434-6",
"journal": "Scientific Data",
"year": 2020,
"authors": "Klemenjak, C.; Kovatsch, C.; Herold, M.; Elmenreich, W.",
"abstract": "AbstractResearch on smart grid technologies is expected to result in effective climate change mitigation. Non-Intrusive Load Monitoring (NILM) is seen as a key technique for enabling innovative smart-grid services. By breaking down the energy consumption of households and industrial facilities into its components, NILM techniques provide information on present appliances and can be applied to perform diagnostics. As with related Machine Learning problems, research and development requires a suff",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A 2015 inventory of embodied carbon emissions for Chinese power transmission infrastructure projects",
"doi": "10.1038/s41597-020-00662-4",
"url": "https://doi.org/10.1038/s41597-020-00662-4",
"journal": "Scientific Data",
"year": 2020,
"authors": "Wei, W.; Wang, M.; Zhang, P.; Chen, B.; Guan, D.",
"abstract": "AbstractThe spatial mismatch of energy resources and electricity demand in China drives the large-scale construction of power transmission infrastructure, which consumes a large amount of carbon-intensive products. However, a systematic accounting framework for the carbon emissions of power transmission infrastructure has not yet been established. This study for the first time compiles an embodied carbon emissions inventory covering 191 typical power transmission infrastructure projects in China",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Developing reliable hourly electricity demand data through screening and imputation",
"doi": "10.1038/s41597-020-0483-x",
"url": "https://doi.org/10.1038/s41597-020-0483-x",
"journal": "Scientific Data",
"year": 2020,
"authors": "Ruggles, T.; Farnham, D.; Tong, D.; Caldeira, K.",
"abstract": "AbstractElectricity usage (demand) data are used by utilities, governments, and academics to model electric grids for a variety of planning (e.g., capacity expansion and system operation) purposes. The U.S. Energy Information Administration collects hourly demand data from all balancing authorities (BAs) in the contiguous United States. As of September 2019, we find 2.2% of the demand data in their database are missing. Additionally, 0.5% of reported quantities are either negative values or are ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset",
"doi": "10.1038/s41597-020-0453-3",
"url": "https://doi.org/10.1038/s41597-020-0453-3",
"journal": "Scientific Data",
"year": 2020,
"authors": "Harris, I.; Osborn, T.; Jones, P.; Lister, D.",
"abstract": "Abstract\n CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901–2018 by the inclusion of additional station observations, and it will be up",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Estimation of global tropical cyclone wind speed probabilities using the STORM dataset",
"doi": "10.1038/s41597-020-00720-x",
"url": "https://doi.org/10.1038/s41597-020-00720-x",
"journal": "Scientific Data",
"year": 2020,
"authors": "Bloemendaal, N.; de Moel, H.; Muis, S.; Haigh, I.; Aerts, J.",
"abstract": "AbstractTropical cyclones (TC) are one of the deadliest and costliest natural disasters. To mitigate the impact of such disasters, it is essential to know extreme exceedance probabilities, also known as return periods, of TC hazards. In this paper, we demonstrate the use of the STORM dataset, containing synthetic TCs equivalent of 10,000 years under present-day climate conditions, for the calculation of TC wind speed return periods. The temporal length of the STORM dataset allows us to empirical",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy justice towards racial justice",
"doi": "10.1038/s41560-020-00681-w",
"url": "https://doi.org/10.1038/s41560-020-00681-w",
"journal": "Nature Energy",
"year": 2020,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Social dynamics of energy behaviour",
"doi": "10.1038/s41560-020-0595-8",
"url": "https://doi.org/10.1038/s41560-020-0595-8",
"journal": "Nature Energy",
"year": 2020,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy innovation needs better targets",
"doi": "10.1038/s41560-020-00718-0",
"url": "https://doi.org/10.1038/s41560-020-00718-0",
"journal": "Nature Energy",
"year": 2020,
"authors": "",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Combining information on others’ energy usage and their approval of energy conservation promotes energy saving behaviour",
"doi": "10.1038/s41560-020-00727-z",
"url": "https://doi.org/10.1038/s41560-020-00727-z",
"journal": "Nature Energy",
"year": 2020,
"authors": "Bonan, J.; Cattaneo, C.; d’Adda, G.; Tavoni, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Getting high with quantum dot solar cells",
"doi": "10.1038/s41560-019-0534-8",
"url": "https://doi.org/10.1038/s41560-019-0534-8",
"journal": "Nature Energy",
"year": 2020,
"authors": "Jean, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "The impact of mandatory energy audits on building energy use",
"doi": "10.1038/s41560-020-0589-6",
"url": "https://doi.org/10.1038/s41560-020-0589-6",
"journal": "Nature Energy",
"year": 2020,
"authors": "Kontokosta, C.; Spiegel-Feld, D.; Papadopoulos, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mandatory building energy audits alone are insufficient to meet climate goals",
"doi": "10.1038/s41560-020-0603-z",
"url": "https://doi.org/10.1038/s41560-020-0603-z",
"journal": "Nature Energy",
"year": 2020,
"authors": "Kontokosta, C.; Spiegel-Feld, D.; Papadopoulos, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Ultrahigh power and energy density in partially ordered lithium-ion cathode materials",
"doi": "10.1038/s41560-020-0573-1",
"url": "https://doi.org/10.1038/s41560-020-0573-1",
"journal": "Nature Energy",
"year": 2020,
"authors": "Ji, H.; Wu, J.; Cai, Z.; Liu, J.; Kwon, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Differences in carbon emissions reduction between countries pursuing renewable electricity versus nuclear power",
"doi": "10.1038/s41560-020-00696-3",
"url": "https://doi.org/10.1038/s41560-020-00696-3",
"journal": "Nature Energy",
"year": 2020,
"authors": "Sovacool, B.; Schmid, P.; Stirling, A.; Walter, G.; MacKerron, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emissions benefits of electric vehicles in Uber and Lyft ride-hailing services",
"doi": "10.1038/s41560-020-0632-7",
"url": "https://doi.org/10.1038/s41560-020-0632-7",
"journal": "Nature Energy",
"year": 2020,
"authors": "Jenn, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Better seasonal forecasts for the renewable energy industry",
"doi": "10.1038/s41560-020-0561-5",
"url": "https://doi.org/10.1038/s41560-020-0561-5",
"journal": "Nature Energy",
"year": 2020,
"authors": "Orlov, A.; Sillmann, J.; Vigo, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Better seasonal forecasts for the renewable energy industry",
"doi": "10.1038/s41560-020-0586-9",
"url": "https://doi.org/10.1038/s41560-020-0586-9",
"journal": "Nature Energy",
"year": 2020,
"authors": "Orlov, A.; Sillmann, J.; Vigo, I.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Price support allows communities to raise low-cost citizen finance for renewable energy projects",
"doi": "10.1038/s41560-020-0556-2",
"url": "https://doi.org/10.1038/s41560-020-0556-2",
"journal": "Nature Energy",
"year": 2020,
"authors": "Braunholtz-Speight, T.; Sharmina, M.; Manderson, E.; McLachlan, C.; Hannon, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The importance of social relations in shaping energy demand",
"doi": "10.1038/s41560-020-0553-5",
"url": "https://doi.org/10.1038/s41560-020-0553-5",
"journal": "Nature Energy",
"year": 2020,
"authors": "Hargreaves, T.; Middlemiss, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increase in domestic electricity consumption from particulate air pollution",
"doi": "10.1038/s41560-020-00699-0",
"url": "https://doi.org/10.1038/s41560-020-00699-0",
"journal": "Nature Energy",
"year": 2020,
"authors": "He, P.; Liang, J.; Qiu, Y.; Li, Q.; Xing, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Quantifying the impacts of climate change and extreme climate events on energy systems",
"doi": "10.1038/s41560-020-0558-0",
"url": "https://doi.org/10.1038/s41560-020-0558-0",
"journal": "Nature Energy",
"year": 2020,
"authors": "Perera, A.; Nik, V.; Chen, D.; Scartezzini, J.; Hong, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate risks are becoming legal liabilities for the energy sector",
"doi": "10.1038/s41560-019-0540-x",
"url": "https://doi.org/10.1038/s41560-019-0540-x",
"journal": "Nature Energy",
"year": 2020,
"authors": "Gundlach, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A global analysis of the progress and failure of electric utilities to adapt their portfolios of power-generation assets to the energy transition",
"doi": "10.1038/s41560-020-00686-5",
"url": "https://doi.org/10.1038/s41560-020-00686-5",
"journal": "Nature Energy",
"year": 2020,
"authors": "Alova, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Multifaceted drivers for onshore wind energy repowering and their implications for energy transition",
"doi": "10.1038/s41560-020-00717-1",
"url": "https://doi.org/10.1038/s41560-020-00717-1",
"journal": "Nature Energy",
"year": 2020,
"authors": "Kitzing, L.; Jensen, M.; Telsnig, T.; Lantz, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Multifaceted political and social drivers inform wind energy repowering decisions and potential",
"doi": "10.1038/s41560-020-00733-1",
"url": "https://doi.org/10.1038/s41560-020-00733-1",
"journal": "Nature Energy",
"year": 2020,
"authors": "Kitzing, L.; Jensen, M.; Telsnig, T.; Lantz, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Offshore wind competitiveness in mature markets without subsidy",
"doi": "10.1038/s41560-020-0661-2",
"url": "https://doi.org/10.1038/s41560-020-0661-2",
"journal": "Nature Energy",
"year": 2020,
"authors": "Jansen, M.; Staffell, I.; Kitzing, L.; Quoilin, S.; Wiggelinkhuizen, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Effects of technology complexity on the emergence and evolution of wind industry manufacturing locations along global value chains",
"doi": "10.1038/s41560-020-00685-6",
"url": "https://doi.org/10.1038/s41560-020-00685-6",
"journal": "Nature Energy",
"year": 2020,
"authors": "Surana, K.; Doblinger, C.; Anadon, L.; Hultman, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Tuning the interlayer spacing of graphene laminate films for efficient pore utilization towards compact capacitive energy storage",
"doi": "10.1038/s41560-020-0560-6",
"url": "https://doi.org/10.1038/s41560-020-0560-6",
"journal": "Nature Energy",
"year": 2020,
"authors": "Li, Z.; Gadipelli, S.; Li, H.; Howard, C.; Brett, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Tuning the interlayer spacing of graphene laminate films for efficient pore utilization towards compact capacitive energy storage",
"doi": "10.1038/s41560-020-0588-7",
"url": "https://doi.org/10.1038/s41560-020-0588-7",
"journal": "Nature Energy",
"year": 2020,
"authors": "Li, Z.; Gadipelli, S.; Li, H.; Howard, C.; Brett, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Increase in household energy consumption due to ambient air pollution",
"doi": "10.1038/s41560-020-00698-1",
"url": "https://doi.org/10.1038/s41560-020-00698-1",
"journal": "Nature Energy",
"year": 2020,
"authors": "Eom, J.; Hyun, M.; Lee, J.; Lee, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Large inequality in international and intranational energy footprints between income groups and across consumption categories",
"doi": "10.1038/s41560-020-0579-8",
"url": "https://doi.org/10.1038/s41560-020-0579-8",
"journal": "Nature Energy",
"year": 2020,
"authors": "Oswald, Y.; Owen, A.; Steinberger, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Publisher Correction: Large inequality in international and intranational energy footprints between income groups and across consumption categories",
"doi": "10.1038/s41560-020-0606-9",
"url": "https://doi.org/10.1038/s41560-020-0606-9",
"journal": "Nature Energy",
"year": 2020,
"authors": "Oswald, Y.; Owen, A.; Steinberger, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Machine learning model to project the impact of COVID-19 on US motor gasoline demand",
"doi": "10.1038/s41560-020-0662-1",
"url": "https://doi.org/10.1038/s41560-020-0662-1",
"journal": "Nature Energy",
"year": 2020,
"authors": "Ou, S.; He, X.; Ji, W.; Chen, W.; Sui, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Author Correction: Machine learning model to project the impact of COVID-19 on US motor gasoline demand",
"doi": "10.1038/s41560-020-00711-7",
"url": "https://doi.org/10.1038/s41560-020-00711-7",
"journal": "Nature Energy",
"year": 2020,
"authors": "Ou, S.; He, X.; Ji, W.; Chen, W.; Sui, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Recognition of and response to energy poverty in the United States",
"doi": "10.1038/s41560-020-0582-0",
"url": "https://doi.org/10.1038/s41560-020-0582-0",
"journal": "Nature Energy",
"year": 2020,
"authors": "Bednar, D.; Reames, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Culture and low-carbon energy transitions",
"doi": "10.1038/s41893-020-0519-4",
"url": "https://doi.org/10.1038/s41893-020-0519-4",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Sovacool, B.; Griffiths, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "A holistic analysis of passenger travel energy and greenhouse gas intensities",
"doi": "10.1038/s41893-020-0514-9",
"url": "https://doi.org/10.1038/s41893-020-0514-9",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Schäfer, A.; Yeh, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate co-benefits of air quality and clean energy policy in India",
"doi": "10.1038/s41893-020-00666-3",
"url": "https://doi.org/10.1038/s41893-020-00666-3",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Tibrewal, K.; Venkataraman, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reduced ecosystem services of desert plants from ground-mounted solar energy development",
"doi": "10.1038/s41893-020-0574-x",
"url": "https://doi.org/10.1038/s41893-020-0574-x",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Grodsky, S.; Hernandez, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Energy use and the sustainability of intensifying food production",
"doi": "10.1038/s41893-020-0503-z",
"url": "https://doi.org/10.1038/s41893-020-0503-z",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Schramski, J.; Woodson, C.; Brown, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate change extremes and photovoltaic power output",
"doi": "10.1038/s41893-020-00643-w",
"url": "https://doi.org/10.1038/s41893-020-00643-w",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Feron, S.; Cordero, R.; Damiani, A.; Jackson, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Photovoltaic panel cooling by atmospheric water sorption–evaporation cycle",
"doi": "10.1038/s41893-020-0535-4",
"url": "https://doi.org/10.1038/s41893-020-0535-4",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Li, R.; Shi, Y.; Wu, M.; Hong, S.; Wang, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Green solvent for perovskite solar cell production",
"doi": "10.1038/s41893-020-00647-6",
"url": "https://doi.org/10.1038/s41893-020-00647-6",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Park, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar-driven reforming of solid waste for a sustainable future",
"doi": "10.1038/s41893-020-00650-x",
"url": "https://doi.org/10.1038/s41893-020-00650-x",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Uekert, T.; Pichler, C.; Schubert, T.; Reisner, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Global reduction of solar power generation efficiency due to aerosols and panel soiling",
"doi": "10.1038/s41893-020-0553-2",
"url": "https://doi.org/10.1038/s41893-020-0553-2",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Li, X.; Mauzerall, D.; Bergin, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Regional disparities in emissions reduction and net trade from renewables",
"doi": "10.1038/s41893-020-00652-9",
"url": "https://doi.org/10.1038/s41893-020-00652-9",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Fell, H.; Johnson, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Smart renewable electricity portfolios in West Africa",
"doi": "10.1038/s41893-020-0539-0",
"url": "https://doi.org/10.1038/s41893-020-0539-0",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Sterl, S.; Vanderkelen, I.; Chawanda, C.; Russo, D.; Brecha, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Cleaning the grid",
"doi": "10.1038/s41893-020-00663-6",
"url": "https://doi.org/10.1038/s41893-020-00663-6",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Millstein, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Re-evaluating effectiveness of vehicle emission control programmes targeting high-emitters",
"doi": "10.1038/s41893-020-0573-y",
"url": "https://doi.org/10.1038/s41893-020-0573-y",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Huang, Y.; Surawski, N.; Yam, Y.; Lee, C.; Zhou, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Net emission reductions from electric cars and heat pumps in 59 world regions over time",
"doi": "10.1038/s41893-020-0488-7",
"url": "https://doi.org/10.1038/s41893-020-0488-7",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Knobloch, F.; Hanssen, S.; Lam, A.; Pollitt, H.; Salas, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Hydrological limits to carbon capture and storage",
"doi": "10.1038/s41893-020-0532-7",
"url": "https://doi.org/10.1038/s41893-020-0532-7",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Rosa, L.; Reimer, J.; Went, M.; D’Odorico, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Ecological restoration impact on total terrestrial water storage",
"doi": "10.1038/s41893-020-00600-7",
"url": "https://doi.org/10.1038/s41893-020-00600-7",
"journal": "Nature Sustainability",
"year": 2020,
"authors": "Zhao, M.; A, G.; Zhang, J.; Velicogna, I.; Liang, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Impacts of solar intermittency on future photovoltaic reliability",
"doi": "10.1038/s41467-020-18602-6",
"url": "https://doi.org/10.1038/s41467-020-18602-6",
"journal": "Nature Communications",
"year": 2020,
"authors": "Yin, J.; Molini, A.; Porporato, A.",
"abstract": "AbstractAs photovoltaic power is expanding rapidly worldwide, it is imperative to assess its promise under future climate scenarios. While a great deal of research has been devoted to trends in mean solar radiation, less attention has been paid to its intermittent character, a key challenge when compounded with uncertainties related to climate variability. Using both satellite data and climate model outputs, we characterize solar radiation intermittency to assess future photovoltaic reliability.",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar photovoltaic interventions have reduced rural poverty in China",
"doi": "10.1038/s41467-020-15826-4",
"url": "https://doi.org/10.1038/s41467-020-15826-4",
"journal": "Nature Communications",
"year": 2020,
"authors": "Zhang, H.; Wu, K.; Qiu, Y.; Chan, G.; Wang, S.",
"abstract": "AbstractSince 2013, China has implemented a large-scale initiative to systematically deploy solar photovoltaic (PV) projects to alleviate poverty in rural areas. To provide new understanding of China’s targeted poverty alleviation strategy, we use a panel dataset of 211 pilot counties that received targeted PV investments from 2013 to 2016, and find that the PV poverty alleviation pilot policy increases per-capita disposable income in a county by approximately 7%-8%. The effect of PV investment ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Unraveling the influence of non-fullerene acceptor molecular packing on photovoltaic performance of organic solar cells",
"doi": "10.1038/s41467-020-19853-z",
"url": "https://doi.org/10.1038/s41467-020-19853-z",
"journal": "Nature Communications",
"year": 2020,
"authors": "Ye, L.; Weng, K.; Xu, J.; Du, X.; Chandrabose, S.",
"abstract": "AbstractIn non-fullerene organic solar cells, the long-range structure ordering induced by end-group π–π stacking of fused-ring non-fullerene acceptors is considered as the critical factor in realizing efficient charge transport and high power conversion efficiency. Here, we demonstrate that side-chain engineering of non-fullerene acceptors could drive the fused-ring backbone assembly from a π–π stacking mode to an intermixed packing mode, and to a non-stacking mode to refine its solid-state pro",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar system exploration via comparative planetology",
"doi": "10.1038/s41467-020-18126-z",
"url": "https://doi.org/10.1038/s41467-020-18126-z",
"journal": "Nature Communications",
"year": 2020,
"authors": "Glassmeier, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Entropy and interfacial energy driven self-healable polymers",
"doi": "10.1038/s41467-020-14911-y",
"url": "https://doi.org/10.1038/s41467-020-14911-y",
"journal": "Nature Communications",
"year": 2020,
"authors": "Hornat, C.; Urban, M.",
"abstract": "AbstractAlthough significant advances have been achieved in dynamic reversible covalent and non-covalent bonding chemistries for self-healing polymers, an ultimate goal is to create high strength and stiffness commodity materials capable of repair without intervention under ambient conditions. Here we report the development of mechanically robust thermoplastic polyurethane fibers and films capable of autonomous self-healing under ambient conditions. Two mechanisms of self-healing are identified:",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Renewable energy production will exacerbate mining threats to biodiversity",
"doi": "10.1038/s41467-020-17928-5",
"url": "https://doi.org/10.1038/s41467-020-17928-5",
"journal": "Nature Communications",
"year": 2020,
"authors": "Sonter, L.; Dade, M.; Watson, J.; Valenta, R.",
"abstract": "AbstractRenewable energy production is necessary to halt climate change and reverse associated biodiversity losses. However, generating the required technologies and infrastructure will drive an increase in the production of many metals, creating new mining threats for biodiversity. Here, we map mining areas and assess their spatial coincidence with biodiversity conservation sites and priorities. Mining potentially influences 50 million km2 of Earth’s land surface, with 8% coinciding with Protec",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The critical role of humidity in modeling summer electricity demand across the United States",
"doi": "10.1038/s41467-020-15393-8",
"url": "https://doi.org/10.1038/s41467-020-15393-8",
"journal": "Nature Communications",
"year": 2020,
"authors": "Maia-Silva, D.; Kumar, R.; Nateghi, R.",
"abstract": "AbstractCooling demand is projected to increase under climate change. However, most of the existing projections are based on rising air temperatures alone, ignoring that rising temperatures are associated with increased humidity; a lethal combination that could significantly increase morbidity and mortality rates during extreme heat events. We bridge this gap by identifying the key measures of heat stress, considering both air temperature and near-surface humidity, in characterizing the climate ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Electricity-powered artificial root nodule",
"doi": "10.1038/s41467-020-15314-9",
"url": "https://doi.org/10.1038/s41467-020-15314-9",
"journal": "Nature Communications",
"year": 2020,
"authors": "Lu, S.; Guan, X.; Liu, C.",
"abstract": "AbstractRoot nodules are agricultural-important symbiotic plant-microbe composites in which microorganisms receive energy from plants and reduce dinitrogen (N2) into fertilizers. Mimicking root nodules using artificial devices can enable renewable energy-driven fertilizer production. This task is challenging due to the necessity of a microscopic dioxygen (O2) concentration gradient, which reconciles anaerobic N2 fixation with O2-rich atmosphere. Here we report our designed electricity-powered bi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Regional impacts of electricity system transition in Central Europe until 2035",
"doi": "10.1038/s41467-020-18812-y",
"url": "https://doi.org/10.1038/s41467-020-18812-y",
"journal": "Nature Communications",
"year": 2020,
"authors": "Sasse, J.; Trutnevyte, E.",
"abstract": "AbstractAchieving current electricity sector targets in Central Europe (Austria, Denmark, France, Germany, Poland and Switzerland) will redistribute regional benefits and burdens at sub-national level. Limiting emerging regional inequalities would foster the implementation success. We model one hundred scenarios of electricity generation, storage and transmission for 2035 in these countries for 650 regions and quantify associated regional impacts on system costs, employment, greenhouse gas and p",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Anomalous supply shortages from dynamic pricing in on-demand mobility",
"doi": "10.1038/s41467-020-18370-3",
"url": "https://doi.org/10.1038/s41467-020-18370-3",
"journal": "Nature Communications",
"year": 2020,
"authors": "Schröder, M.; Storch, D.; Marszal, P.; Timme, M.",
"abstract": "AbstractDynamic pricing schemes are increasingly employed across industries to maintain a self-organized balance of demand and supply. However, throughout complex dynamical systems, unintended collective states exist that may compromise their function. Here we reveal how dynamic pricing may induce demand-supply imbalances instead of preventing them. Combining game theory and time series analysis of dynamic pricing data from on-demand ride-hailing services, we explain this apparent contradiction.",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Drought and climate change impacts on cooling water shortages and electricity prices in Great Britain",
"doi": "10.1038/s41467-020-16012-2",
"url": "https://doi.org/10.1038/s41467-020-16012-2",
"journal": "Nature Communications",
"year": 2020,
"authors": "Byers, E.; Coxon, G.; Freer, J.; Hall, J.",
"abstract": "AbstractThe risks of cooling water shortages to thermo-electric power plants are increasingly studied as an important climate risk to the energy sector. Whilst electricity transmission networks reduce the risks during disruptions, more costly plants must provide alternative supplies. Here, we investigate the electricity price impacts of cooling water shortages on Britain’s power supplies using a probabilistic spatial risk model of regional climate, hydrological droughts and cooling water shortag",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Grid cells are modulated by local head direction",
"doi": "10.1038/s41467-020-17500-1",
"url": "https://doi.org/10.1038/s41467-020-17500-1",
"journal": "Nature Communications",
"year": 2020,
"authors": "Gerlei, K.; Passlack, J.; Hawes, I.; Vandrey, B.; Stevens, H.",
"abstract": "AbstractGrid and head direction codes represent cognitive spaces for navigation and memory. Pure grid cells generate grid codes that have been assumed to be independent of head direction, whereas conjunctive cells generate grid representations that are tuned to a single head direction. Here, we demonstrate that pure grid cells also encode head direction, but through distinct mechanisms. We show that individual firing fields of pure grid cells are tuned to multiple head directions, with the prefe",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Image quality guided smart rotation improves coverage in microscopy",
"doi": "10.1038/s41467-019-13821-y",
"url": "https://doi.org/10.1038/s41467-019-13821-y",
"journal": "Nature Communications",
"year": 2020,
"authors": "He, J.; Huisken, J.",
"abstract": "AbstractFluorescence microscopy is an essential tool for biological discoveries. There is a constant demand for better spatial resolution across a larger field of view. Although strides have been made to improve the theoretical resolution and speed of the optical instruments, in mesoscopic samples, image quality is still largely limited by the optical properties of the sample. In Selective Plane Illumination Microscopy (SPIM), the achievable optical performance is hampered by optical degradation",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "India’s potential for integrating solar and on- and offshore wind power into its energy system",
"doi": "10.1038/s41467-020-18318-7",
"url": "https://doi.org/10.1038/s41467-020-18318-7",
"journal": "Nature Communications",
"year": 2020,
"authors": "Lu, T.; Sherman, P.; Chen, X.; Chen, S.; Lu, X.",
"abstract": "AbstractThis paper considers options for a future Indian power economy in which renewables, wind and solar, could meet 80% of anticipated 2040 power demand supplanting the country’s current reliance on coal. Using a cost optimization model, here we show that renewables could provide a source of power cheaper or at least competitive with what could be supplied using fossil-based alternatives. The ancillary advantage would be a significant reduction in India’s future power sector related emissions",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A wind-albedo-wind feedback driven by landscape evolution",
"doi": "10.1038/s41467-019-13661-w",
"url": "https://doi.org/10.1038/s41467-019-13661-w",
"journal": "Nature Communications",
"year": 2020,
"authors": "Abell, J.; Pullen, A.; Lebo, Z.; Kapp, P.; Gloege, L.",
"abstract": "AbstractThe accurate characterization of near-surface winds is critical to our understanding of past and modern climate. Dust lofted by these winds has the potential to modify surface and atmospheric conditions as well as ocean biogeochemistry. Stony deserts, low dust emitting regions today, represent expansive areas where variations in surficial geology through time may drastically impact near-surface conditions. Here we use the Weather Research and Forecasting (WRF) model over the western Gobi",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global resource potential of seasonal pumped hydropower storage for energy and water storage",
"doi": "10.1038/s41467-020-14555-y",
"url": "https://doi.org/10.1038/s41467-020-14555-y",
"journal": "Nature Communications",
"year": 2020,
"authors": "Hunt, J.; Byers, E.; Wada, Y.; Parkinson, S.; Gernaat, D.",
"abstract": "AbstractSeasonal mismatches between electricity supply and demand is increasing due to expanded use of wind, solar and hydropower resources, which in turn raises the interest on low-cost seasonal energy storage options. Seasonal pumped hydropower storage (SPHS) can provide long-term energy storage at a relatively low-cost and co-benefits in the form of freshwater storage capacity. We present the first estimate of the global assessment of SPHS potential, using a novel plant-siting methodology bas",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "High density mechanical energy storage with carbon nanothread bundle",
"doi": "10.1038/s41467-020-15807-7",
"url": "https://doi.org/10.1038/s41467-020-15807-7",
"journal": "Nature Communications",
"year": 2020,
"authors": "Zhan, H.; Zhang, G.; Bell, J.; Tan, V.; Gu, Y.",
"abstract": "AbstractThe excellent mechanical properties of carbon nanofibers bring promise for energy-related applications. Through in silico studies and continuum elasticity theory, here we show that the ultra-thin carbon nanothreads-based bundles exhibit a high mechanical energy storage density. Specifically, the gravimetric energy density is found to decrease with the number of filaments, with torsion and tension as the two dominant contributors. Due to the coupled stresses, the nanothread bundle experie",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Mapping global carbon footprint in China",
"doi": "10.1038/s41467-020-15883-9",
"url": "https://doi.org/10.1038/s41467-020-15883-9",
"journal": "Nature Communications",
"year": 2020,
"authors": "Yang, Y.; Qu, S.; Cai, B.; Liang, S.; Wang, Z.",
"abstract": "AbstractDeveloping localized climate mitigation strategies needs an understanding of how global consumption drives local carbon dioxide (CO2) emissions with a fine spatial resolution. There is no study that provides a spatially explicit mapping of global carbon footprint in China―the world’s largest CO2 emitter―simultaneously considering both international and interprovincial trade. Here we map CO2 emissions in China driven by global consumption in 2012 at a high spatial resolution (10 km × 10 k",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Carbon footprint of global natural gas supplies to China",
"doi": "10.1038/s41467-020-14606-4",
"url": "https://doi.org/10.1038/s41467-020-14606-4",
"journal": "Nature Communications",
"year": 2020,
"authors": "Gan, Y.; El-Houjeiri, H.; Badahdah, A.; Lu, Z.; Cai, H.",
"abstract": "AbstractAs natural gas demand surges in China, driven by the coal-to-gas switching policy, widespread attention is focused on its impacts on global gas supply-demand rebalance and greenhouse gas (GHG) emissions. Here, for the first time, we estimate well-to-city-gate GHG emissions of gas supplies for China, based on analyses of field-specific characteristics of 104 fields in 15 countries. Results show GHG intensities of supplies from 104 fields vary from 6.2 to 43.3 g CO2eq MJ−1. Due to the incr",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Improved estimates on global carbon stock and carbon pools in tidal wetlands",
"doi": "10.1038/s41467-019-14120-2",
"url": "https://doi.org/10.1038/s41467-019-14120-2",
"journal": "Nature Communications",
"year": 2020,
"authors": "Ouyang, X.; Lee, S.",
"abstract": "AbstractTidal wetlands are global hotspots of carbon storage but errors exist with current estimates on their carbon density due to the use of factors estimated from other habitats for converting loss-on-ignition (LOI) to organic carbon (OC); and the omission of certain significant carbon pools. Here we show that the widely used conversion factor (LOI/OC = 1.724) is significantly lower than our measurements for saltmarsh sediments (1.92 ± 0.01) and oversimplifies the polynomial relationship betw",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Vicinal difunctionalization of carbon–carbon double bond for the platform synthesis of trifluoroalkyl amines",
"doi": "10.1038/s41467-020-19748-z",
"url": "https://doi.org/10.1038/s41467-020-19748-z",
"journal": "Nature Communications",
"year": 2020,
"authors": "Béke, F.; Mészáros, Á.; Tóth, Á.; Botlik, B.; Novák, Z.",
"abstract": "AbstractRegioselective vicinal diamination of carbon–carbon double bonds with two different amines is a synthetic challenge under transition metal-free conditions, especially for the synthesis of trifluoromethylated amines. However, the synthesis of ethylene diamines and fluorinated amine compounds is demanded, especially in the pharmaceutical sector. Herein, we demonstrate that the controllable double nucleophilic functionalization of an activated alkene synthon, originated from a trifluoroprop",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy consumption and cooperation for optimal sensing",
"doi": "10.1038/s41467-020-14806-y",
"url": "https://doi.org/10.1038/s41467-020-14806-y",
"journal": "Nature Communications",
"year": 2020,
"authors": "Ngampruetikorn, V.; Schwab, D.; Stephens, G.",
"abstract": "AbstractThe reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood. We introduce a model of two interacting sensors which allows for the principled exploration of signal statistics, cooperation strategies and the role of energy consumption in optimal sensing, quantified through the mutual information between the signal and the sensors. Here we report that in general the optimal ",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global consumption and international trade in deforestation-associated commodities could influence malaria risk",
"doi": "10.1038/s41467-020-14954-1",
"url": "https://doi.org/10.1038/s41467-020-14954-1",
"journal": "Nature Communications",
"year": 2020,
"authors": "Chaves, L.; Fry, J.; Malik, A.; Geschke, A.; Sallum, M.",
"abstract": "Abstract\n Deforestation can increase the transmission of malaria. Here, we build upon the existing link between malaria risk and deforestation by investigating how the global demand for commodities that increase deforestation can also increase malaria risk. We use a database of trade relationships to link the consumption of deforestation-implicated commodities in developed countries to estimates of country-level malaria risk in developing countries. We estimate that about 20% of",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Prefrontal reinstatement of contextual task demand is predicted by separable hippocampal patterns",
"doi": "10.1038/s41467-020-15928-z",
"url": "https://doi.org/10.1038/s41467-020-15928-z",
"journal": "Nature Communications",
"year": 2020,
"authors": "Jiang, J.; Wang, S.; Guo, W.; Fernandez, C.; Wagner, A.",
"abstract": "AbstractGoal-directed behavior requires the representation of a task-set that defines the task-relevance of stimuli and guides stimulus-action mappings. Past experience provides one source of knowledge about likely task demands in the present, with learning enabling future predictions about anticipated demands. We examine whether spatial contexts serve to cue retrieval of associated task demands (e.g., context A and B probabilistically cue retrieval of task demands X and Y, respectively), and th",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy budget constraints on historical radiative forcing",
"doi": "10.1038/s41558-020-0696-1",
"url": "https://doi.org/10.1038/s41558-020-0696-1",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Andrews, T.; Forster, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Renewable energy targets may undermine their sustainability",
"doi": "10.1038/s41558-020-00939-x",
"url": "https://doi.org/10.1038/s41558-020-00939-x",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Spillias, S.; Kareiva, P.; Ruckelshaus, M.; McDonald-Madden, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Drivers of wildfire carbon emissions",
"doi": "10.1038/s41558-020-00922-6",
"url": "https://doi.org/10.1038/s41558-020-00922-6",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Loehman, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Embodied carbon emissions in the supply chains of multinational enterprises",
"doi": "10.1038/s41558-020-0895-9",
"url": "https://doi.org/10.1038/s41558-020-0895-9",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Zhang, Z.; Guan, D.; Wang, R.; Meng, J.; Zheng, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Emissions trading",
"doi": "10.1038/s41558-020-0812-2",
"url": "https://doi.org/10.1038/s41558-020-0812-2",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Wake, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Climate laws help reduce emissions",
"doi": "10.1038/s41558-020-0853-6",
"url": "https://doi.org/10.1038/s41558-020-0853-6",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Dubash, N.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Global wind patterns and the vulnerability of wind-dispersed species to climate change",
"doi": "10.1038/s41558-020-0848-3",
"url": "https://doi.org/10.1038/s41558-020-0848-3",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Kling, M.; Ackerly, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Renewable Energy Resource Mapping",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Putting wind dispersal in context",
"doi": "10.1038/s41558-020-0858-1",
"url": "https://doi.org/10.1038/s41558-020-0858-1",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Bohrer, G.; Treep, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The climate change mitigation potential of bioenergy with carbon capture and storage",
"doi": "10.1038/s41558-020-0885-y",
"url": "https://doi.org/10.1038/s41558-020-0885-y",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Hanssen, S.; Daioglou, V.; Steinmann, Z.; Doelman, J.; Van Vuuren, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "A near-term to net zero alternative to the social cost of carbon for setting carbon prices",
"doi": "10.1038/s41558-020-0880-3",
"url": "https://doi.org/10.1038/s41558-020-0880-3",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Kaufman, N.; Barron, A.; Krawczyk, W.; Marsters, P.; McJeon, H.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Dark side of low carbon",
"doi": "10.1038/s41558-020-0724-1",
"url": "https://doi.org/10.1038/s41558-020-0724-1",
"journal": "Nature Climate Change",
"year": 2020,
"authors": "Findlay, A.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Offsetting anthropogenic carbon emissions from biomass waste and mineralised carbon dioxide",
"doi": "10.1038/s41598-020-57801-5",
"url": "https://doi.org/10.1038/s41598-020-57801-5",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Tripathi, N.; Hills, C.; Singh, R.; Singh, J.",
"abstract": "AbstractThe present work investigates biomass wastes and their ashes for re-use in combination with mineralised CO2 in cement-bound construction products. A range of biomass residues (e.g., wood-derived, nut shells, fibres, and fruit peels) sourced in India, Africa and the UK were ashed and exposed to CO2 gas. These CO2-reactive ashes could mineralise CO2 gas and be used to cement ‘raw’ biomass in solid carbonated monolithic composites. The CO2 sequestered in ashes (125–414 g CO2/kg) and that em",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Asymmetrical response of California electricity demand to summer-time temperature variation",
"doi": "10.1038/s41598-020-67695-y",
"url": "https://doi.org/10.1038/s41598-020-67695-y",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Kumar, R.; Rachunok, B.; Maia-Silva, D.; Nateghi, R.",
"abstract": "AbstractCurrent projections of the climate-sensitive portion of residential electricity demand are based on estimating the temperature response of the mean of the demand distribution. In this work, we show that there is significant asymmetry in the summer-time temperature response of electricity demand in the state of California, with high-intensity demand demonstrating a greater sensitivity to temperature increases. The greater climate sensitivity of high-intensity demand is found not only in t",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transparent heater with meshed amorphous oxide/metal/amorphous oxide for electric vehicle applications",
"doi": "10.1038/s41598-020-66514-8",
"url": "https://doi.org/10.1038/s41598-020-66514-8",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Lee, S.; Hwang, J.",
"abstract": "AbstractFor electric vehicle application, one of the problems to be solved is defrosting or defogging a windshield or a side mirror without gas-fired heaters. In this paper, we report on a high performance of transparent heater with meshed amorphous-SiInZnO (SIZO)/ Ag/ amorphous-SiInZnO (SIZO) (SAS) for pure electric vehicles. We have adopted amorphous oxide materials like SIZO since SIZO is well known amorphous oxide materials showing high transparency and smooth surface roughness. With the mes",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Cost of wind energy generation should include energy storage allowance",
"doi": "10.1038/s41598-020-59936-x",
"url": "https://doi.org/10.1038/s41598-020-59936-x",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Boretti, A.; Castelletto, S.",
"abstract": "AbstractThe statistic of wind energy in the US is presently based on annual average capacity factors, and construction cost (CAPEX). This approach suffers from one major downfall, as it does not include any parameter describing the variability of the wind energy generation. As a grid wind and solar only requires significant storage in terms of both power and energy to compensate for the variability of the resource, there is a need to account also for a parameter describing the variability of the",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Thermal energy storage and thermal conductivity properties of Octadecanol-MWCNT composite PCMs as promising organic heat storage materials",
"doi": "10.1038/s41598-020-64149-3",
"url": "https://doi.org/10.1038/s41598-020-64149-3",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Al-Ahmed, A.; Sarı, A.; Mazumder, M.; Hekimoğlu, G.; Al-Sulaiman, F.",
"abstract": "AbstractFatty alcohols have been identified as promising organic phase change materials (PCMs) for thermal energy storage, because of their suitable temperature range, nontoxicity and can be obtained from both natural and synthetic sources. Like all other organic PCMs, octadecanol (OD) as PCM suffers from low thermal conductivity (TC). In this work, to enhance its TC, it was grafted on the functionalized MWCNT and were used as a conductive filler to enhance overall thermal properties of OD in a ",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Building Energy Materials",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Cryogenic conditioning of microencapsulated phase change material for thermal energy storage",
"doi": "10.1038/s41598-020-75494-8",
"url": "https://doi.org/10.1038/s41598-020-75494-8",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Trivedi, G.; Parameshwaran, R.",
"abstract": "AbstractMicroencapsulation is a viable technique to protect and retain the properties of phase change materials (PCMs) that are used in thermal energy storage (TES) applications. In this study, an organic ester as a phase change material was microencapsulated using melamine–formaldehyde as the shell material. This microencapsulated PCM (MPCM) was examined with cyclic cryogenic treatment and combined cyclic cryogenic heat treatment processes. The surface morphology studies showed that the shell s",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Building Energy Materials",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Designing of Carbon Nitride Supported ZnCo2O4 Hybrid Electrode for High-Performance Energy Storage Applications",
"doi": "10.1038/s41598-020-58925-4",
"url": "https://doi.org/10.1038/s41598-020-58925-4",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Sharma, M.; Gaur, A.",
"abstract": "AbstractThis study reports a unique graphitic-C3N4 supported ZnCo2O4 composite, synthesized through a facile hydrothermal method to enhance the electrochemical performance of the electrode. The g-C3N4@ZnCo2O4 hybrid composite based electrode exhibits a significant increase in specific surface area and maximum specific capacity of 157 mAhg−1 at 4 Ag−1. Moreover, g-C3N4@ZnCo2O4 electrode maintained significant capacity retention of 90% up to 2500 cycles. Utilizing this composite in the development",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Model of Carbon Footprint Assessment for the Life Cycle of the System of Wastewater Collection, Transport and Treatment",
"doi": "10.1038/s41598-020-62798-y",
"url": "https://doi.org/10.1038/s41598-020-62798-y",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Zawartka, P.; Burchart-Korol, D.; Blaut, A.",
"abstract": "AbstractThis article presents a model of the environmental assessment of the system of wastewater collection, transport and treatment. The model was developed based on an original environmental assessment method of a system consisting of four elements: septic tanks, household wastewater treatment plants, a sewerage system and a central wastewater treatment plant. To conduct the environmental assessment, the Life Cycle Assessment technique was applied. The Intergovernmental Panel on Climate Chang",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Changes in dietary carbon footprint over ten years relative to individual characteristics and food intake in the Västerbotten Intervention Programme",
"doi": "10.1038/s41598-019-56924-8",
"url": "https://doi.org/10.1038/s41598-019-56924-8",
"journal": "Scientific Reports",
"year": 2020,
"authors": "Hjorth, T.; Huseinovic, E.; Hallström, E.; Strid, A.; Johansson, I.",
"abstract": "AbstractThe objective was to examine 10-year changes in dietary carbon footprint relative to individual characteristics and food intake in the unique longitudinal Västerbotten Intervention Programme, Sweden. Here, 14 591 women and 13 347 men had been followed over time. Food intake was assessed via multiple two study visits 1996–2016, using a 64-item food frequency questionnaire. Greenhouse gas emissions (GHGE) related to food intake, expressed as kg carbon dioxide equivalents/1000 kcal and day,",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "Can Distributed Nuclear Power Address Energy Resilience and Energy Poverty?",
"doi": "10.1016/j.joule.2020.08.005",
"url": "https://doi.org/10.1016/j.joule.2020.08.005",
"journal": "Joule",
"year": 2020,
"authors": "Gilbert, A.; Bazilian, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Socioeconomic & Energy Consumption",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Driving Data into Energy-Efficient Buildings",
"doi": "10.1016/j.joule.2020.10.017",
"url": "https://doi.org/10.1016/j.joule.2020.10.017",
"journal": "Joule",
"year": 2020,
"authors": "Sutherland, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Unlocking a Secret Stash of Energy",
"doi": "10.1016/j.joule.2020.05.019",
"url": "https://doi.org/10.1016/j.joule.2020.05.019",
"journal": "Joule",
"year": 2020,
"authors": "Harris, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Lowering the Energy Cost of Carbon Capture",
"doi": "10.1016/j.joule.2020.06.017",
"url": "https://doi.org/10.1016/j.joule.2020.06.017",
"journal": "Joule",
"year": 2020,
"authors": "Sutherland, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Electricity Storage and the Renewable Energy Transition",
"doi": "10.1016/j.joule.2020.07.022",
"url": "https://doi.org/10.1016/j.joule.2020.07.022",
"journal": "Joule",
"year": 2020,
"authors": "Schill, W.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Energy Consumption of Cryptocurrencies Beyond Bitcoin",
"doi": "10.1016/j.joule.2020.07.013",
"url": "https://doi.org/10.1016/j.joule.2020.07.013",
"journal": "Joule",
"year": 2020,
"authors": "Gallersdörfer, U.; Klaaßen, L.; Stoll, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Predicted Power Output of Silicon-Based Bifacial Tandem Photovoltaic Systems",
"doi": "10.1016/j.joule.2019.12.017",
"url": "https://doi.org/10.1016/j.joule.2019.12.017",
"journal": "Joule",
"year": 2020,
"authors": "Onno, A.; Rodkey, N.; Asgharzadeh, A.; Manzoor, S.; Yu, Z.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Solar PV & Storage",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Solar Materials Find Their Band Gap",
"doi": "10.1016/j.joule.2020.05.001",
"url": "https://doi.org/10.1016/j.joule.2020.05.001",
"journal": "Joule",
"year": 2020,
"authors": "Sutherland, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Are We Still Overestimating Costs for Wind and Solar?",
"doi": "10.1016/j.joule.2020.01.009",
"url": "https://doi.org/10.1016/j.joule.2020.01.009",
"journal": "Joule",
"year": 2020,
"authors": "Kurtz, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Mitigating Curtailment and Carbon Emissions through Load Migration between Data Centers",
"doi": "10.1016/j.joule.2020.08.001",
"url": "https://doi.org/10.1016/j.joule.2020.08.001",
"journal": "Joule",
"year": 2020,
"authors": "Zheng, J.; Chien, A.; Suh, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Reducing Emissions and Costs with Vehicle-to-Grid",
"doi": "10.1016/j.joule.2020.08.003",
"url": "https://doi.org/10.1016/j.joule.2020.08.003",
"journal": "Joule",
"year": 2020,
"authors": "Sutherland, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Negative Emissions Technologies: The Tradeoffs of Air-Capture Economics",
"doi": "10.1016/j.joule.2020.02.007",
"url": "https://doi.org/10.1016/j.joule.2020.02.007",
"journal": "Joule",
"year": 2020,
"authors": "Eisaman, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Is Net Zero Carbon 2050 Possible?",
"doi": "10.1016/j.joule.2020.09.002",
"url": "https://doi.org/10.1016/j.joule.2020.09.002",
"journal": "Joule",
"year": 2020,
"authors": "Deutch, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Accelerating Low-Carbon Innovation",
"doi": "10.1016/j.joule.2020.09.004",
"url": "https://doi.org/10.1016/j.joule.2020.09.004",
"journal": "Joule",
"year": 2020,
"authors": "Malhotra, A.; Schmidt, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Economic Impact of a Unilateral Carbon Price",
"doi": "10.1016/j.joule.2020.01.019",
"url": "https://doi.org/10.1016/j.joule.2020.01.019",
"journal": "Joule",
"year": 2020,
"authors": "Sutherland, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "EnergiTrade",
"subcategory": "Energy & Carbon Trading",
"direction_label": "Carbon Trading & New Business Models"
},
{
"title": "De-risking Renewable Energy Investments in Developing Countries: A Multilateral Guarantee Mechanism",
"doi": "10.1016/j.joule.2020.10.011",
"url": "https://doi.org/10.1016/j.joule.2020.10.011",
"journal": "Joule",
"year": 2020,
"authors": "Matthäus, D.; Mehling, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Experience Curves for Operations and Maintenance Costs of Renewable Energy Technologies",
"doi": "10.1016/j.joule.2019.11.012",
"url": "https://doi.org/10.1016/j.joule.2019.11.012",
"journal": "Joule",
"year": 2020,
"authors": "Steffen, B.; Beuse, M.; Tautorat, P.; Schmidt, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Role of Long-Duration Energy Storage in Variable Renewable Electricity Systems",
"doi": "10.1016/j.joule.2020.07.007",
"url": "https://doi.org/10.1016/j.joule.2020.07.007",
"journal": "Joule",
"year": 2020,
"authors": "Dowling, J.; Rinaldi, K.; Ruggles, T.; Davis, S.; Yuan, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "CO2-to-Fuels Renewable Gasoline and Jet Fuel Can Soon Be Price Competitive with Fossil Fuels",
"doi": "10.1016/j.joule.2020.01.002",
"url": "https://doi.org/10.1016/j.joule.2020.01.002",
"journal": "Joule",
"year": 2020,
"authors": "McGinnis, R.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Trade-Offs between Geographic Scale, Cost, and Infrastructure Requirements for Fully Renewable Electricity in Europe",
"doi": "10.1016/j.joule.2020.07.018",
"url": "https://doi.org/10.1016/j.joule.2020.07.018",
"journal": "Joule",
"year": 2020,
"authors": "Tröndle, T.; Lilliestam, J.; Marelli, S.; Pfenninger, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Power-to-Protein: Carbon Fixation with Renewable Electric Power to Feed the World",
"doi": "10.1016/j.joule.2020.04.008",
"url": "https://doi.org/10.1016/j.joule.2020.04.008",
"journal": "Joule",
"year": 2020,
"authors": "Mishra, A.; Ntihuga, J.; Molitor, B.; Angenent, L.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electricity Production by Photosynthetic Microorganisms",
"doi": "10.1016/j.joule.2020.09.003",
"url": "https://doi.org/10.1016/j.joule.2020.09.003",
"journal": "Joule",
"year": 2020,
"authors": "Howe, C.; Bombelli, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Electricity Load Implications of Space Heating Decarbonization Pathways",
"doi": "10.1016/j.joule.2019.11.011",
"url": "https://doi.org/10.1016/j.joule.2019.11.011",
"journal": "Joule",
"year": 2020,
"authors": "Waite, M.; Modi, V.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Transmission Capacity Expansion Is Needed to Decarbonize the Electricity Sector Efficiently",
"doi": "10.1016/j.joule.2019.10.011",
"url": "https://doi.org/10.1016/j.joule.2019.10.011",
"journal": "Joule",
"year": 2020,
"authors": "Joskow, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Long-Duration Electricity Storage Applications, Economics, and Technologies",
"doi": "10.1016/j.joule.2019.11.009",
"url": "https://doi.org/10.1016/j.joule.2019.11.009",
"journal": "Joule",
"year": 2020,
"authors": "Albertus, P.; Manser, J.; Litzelman, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Projecting the Competition between Energy-Storage Technologies in the Electricity Sector",
"doi": "10.1016/j.joule.2020.07.017",
"url": "https://doi.org/10.1016/j.joule.2020.07.017",
"journal": "Joule",
"year": 2020,
"authors": "Beuse, M.; Steffen, B.; Schmidt, T.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Repurposing Electricity Access Research for the Global South: A Tale of Many Disconnects",
"doi": "10.1016/j.joule.2019.11.013",
"url": "https://doi.org/10.1016/j.joule.2019.11.013",
"journal": "Joule",
"year": 2020,
"authors": "Monyei, C.; Akpeji, K.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Synergistic Tandem Solar Electricity-Water Generators",
"doi": "10.1016/j.joule.2019.12.010",
"url": "https://doi.org/10.1016/j.joule.2019.12.010",
"journal": "Joule",
"year": 2020,
"authors": "Xu, N.; Zhu, P.; Sheng, Y.; Zhou, L.; Li, X.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "How Behavioral Interventions Can Reduce the Climate Impact of Energy Use",
"doi": "10.1016/j.joule.2020.07.008",
"url": "https://doi.org/10.1016/j.joule.2020.07.008",
"journal": "Joule",
"year": 2020,
"authors": "Nielsen, K.; van der Linden, S.; Stern, P.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Securing Smart Grids with Machine Learning",
"doi": "10.1016/j.joule.2020.02.013",
"url": "https://doi.org/10.1016/j.joule.2020.02.013",
"journal": "Joule",
"year": 2020,
"authors": "Sutherland, B.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Liquid Thermo-Responsive Smart Window Derived from Hydrogel",
"doi": "10.1016/j.joule.2020.09.001",
"url": "https://doi.org/10.1016/j.joule.2020.09.001",
"journal": "Joule",
"year": 2020,
"authors": "Zhou, Y.; Wang, S.; Peng, J.; Tan, Y.; Li, C.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Levelized Cost of Charging Electric Vehicles in the United States",
"doi": "10.1016/j.joule.2020.05.013",
"url": "https://doi.org/10.1016/j.joule.2020.05.013",
"journal": "Joule",
"year": 2020,
"authors": "Borlaug, B.; Salisbury, S.; Gerdes, M.; Muratori, M.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "FLEXERGY",
"subcategory": "Electric Vehicles & Mobility",
"direction_label": "Demand Response & New Mobilities & Urban Planning"
},
{
"title": "Wind-Power Generator Technology Research Aims to Meet Global-Wind Power Ambitions",
"doi": "10.1016/j.joule.2020.08.019",
"url": "https://doi.org/10.1016/j.joule.2020.08.019",
"journal": "Joule",
"year": 2020,
"authors": "Veers, P.; Sethuraman, L.; Keller, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "How Does Wind Project Performance Change with Age in the United States?",
"doi": "10.1016/j.joule.2020.04.005",
"url": "https://doi.org/10.1016/j.joule.2020.04.005",
"journal": "Joule",
"year": 2020,
"authors": "Hamilton, S.; Millstein, D.; Bolinger, M.; Wiser, R.; Jeong, S.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "The Mineral Battery: Combining Metal Extraction and Energy Storage",
"doi": "10.1016/j.joule.2019.12.008",
"url": "https://doi.org/10.1016/j.joule.2019.12.008",
"journal": "Joule",
"year": 2020,
"authors": "Deen, K.; Asselin, E.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Toward Controlled Thermal Energy Storage and Release in Organic Phase Change Materials",
"doi": "10.1016/j.joule.2020.07.011",
"url": "https://doi.org/10.1016/j.joule.2020.07.011",
"journal": "Joule",
"year": 2020,
"authors": "Gerkman, M.; Han, G.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "CleanTech",
"subcategory": "Building Energy Materials",
"direction_label": "Novel Low/Zero Carbon Technologies"
},
{
"title": "Asymptotic Cost Analysis of Intercalation Lithium-Ion Systems for Multi-hour Duration Energy Storage",
"doi": "10.1016/j.joule.2020.01.007",
"url": "https://doi.org/10.1016/j.joule.2020.01.007",
"journal": "Joule",
"year": 2020,
"authors": "Ciez, R.; Steingart, D.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
"direction": "DigiEnergy",
"subcategory": "Load Forecasting & Demand Management",
"direction_label": "AI & Data Science for Urban Energy Systems"
},
{
"title": "Can Electrification of Ammonia Synthesis Decrease Its Carbon Footprint?",
"doi": "10.1016/j.joule.2019.12.013",
"url": "https://doi.org/10.1016/j.joule.2019.12.013",
"journal": "Joule",
"year": 2020,
"authors": "McPherson, I.; Zhang, J.",
"abstract": "",
"data_url": "",
"source": "CrossRef",
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"authors": "Meucci, A.; Young, I.; Hemer, M.; Kirezci, E.; Ranasinghe, R.",
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"authors": "Nakamura, Y.; Sakai, Y.; Azuma, M.; Ohkoshi, S.",
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"title": "Novel technology for storage and distribution of live vaccines and other biological medicines at ambient temperature",
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