[
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Solar PV & Storage",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Climate Mitigation"
  },
  {
    "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": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Solar PV & Storage",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Climate change, biodiversity, and the energy transition: The potential role of the UN’s declaration on peasants’ rights",
    "doi": "10.1016/j.oneear.2024.11.013",
    "url": "https://doi.org/10.1016/j.oneear.2024.11.013",
    "journal": "One Earth",
    "year": 2025,
    "authors": "Kemp, D.; Owen, J.; Schuele, W.; Loginova, J.; Ern Ang, M.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Co-deploying biochar and bioenergy with carbon capture and storage improves cost-effectiveness and sustainability of China’s carbon neutrality",
    "doi": "10.1016/j.oneear.2024.12.008",
    "url": "https://doi.org/10.1016/j.oneear.2024.12.008",
    "journal": "One Earth",
    "year": 2025,
    "authors": "Deng, X.; Teng, F.; Zhang, X.; Fan, J.; Forsell, N.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Technoeconomic analysis of distributed energy resources for rapid deployment of the US national charging network",
    "doi": "10.1016/j.crsus.2024.100303",
    "url": "https://doi.org/10.1016/j.crsus.2024.100303",
    "journal": "Cell Reports Sustainability",
    "year": 2025,
    "authors": "Poudel, S.; Wang, J.; Zhou, Y.; Reddi, K.; Elgowainy, A.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Carbon Trading & New Business Models",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States",
    "doi": "10.1016/j.crsus.2025.100423",
    "url": "https://doi.org/10.1016/j.crsus.2025.100423",
    "journal": "Cell Reports Sustainability",
    "year": 2025,
    "authors": "Gallaher, A.; Kalies, E.; Grodsky, S.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Solar PV & Storage",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Unit-level monitoring data reveal the effectiveness of China’s national emissions trading scheme",
    "doi": "10.1016/j.crsus.2025.100339",
    "url": "https://doi.org/10.1016/j.crsus.2025.100339",
    "journal": "Cell Reports Sustainability",
    "year": 2025,
    "authors": "Yan, G.; Ruan, J.; Qin, Z.; Lyu, C.; Qian, S.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Comparative techno-economic analysis of synthetic renewable natural gas production via reactive CO2 capture and conversion",
    "doi": "10.1016/j.crsus.2025.100408",
    "url": "https://doi.org/10.1016/j.crsus.2025.100408",
    "journal": "Cell Reports Sustainability",
    "year": 2025,
    "authors": "Aui, A.; Goldstein, H.; Ellebracht, N.; Li, W.; Pang, S.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Sustainability challenges demand social science insights",
    "doi": "10.1016/j.crsus.2025.100556",
    "url": "https://doi.org/10.1016/j.crsus.2025.100556",
    "journal": "Cell Reports 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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Rising sea level reduces carbon sequestration and CO2 and N2O fluxes while promoting CH4 flux from mangroves",
    "doi": "10.1016/j.crsus.2025.100520",
    "url": "https://doi.org/10.1016/j.crsus.2025.100520",
    "journal": "Cell Reports Sustainability",
    "year": 2025,
    "authors": "Qiao, P.; Chen, L.; Krauss, K.; Guo, X.; Xu, L.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Sustained growth in process-related greenhouse gas emissions undermines China’s mitigation efforts",
    "doi": "10.1016/j.isci.2025.112781",
    "url": "https://doi.org/10.1016/j.isci.2025.112781",
    "journal": "iScience",
    "year": 2025,
    "authors": "Peng, Y.; Han, M.; Liu, N.; Zhang, B.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Techno-economic analysis for a 100% renewable hybrid energy systems integration in a research facility in Morocco",
    "doi": "10.1016/j.isci.2025.113132",
    "url": "https://doi.org/10.1016/j.isci.2025.113132",
    "journal": "iScience",
    "year": 2025,
    "authors": "Choukri, N.; Touili, S.; Azzaoui, A.; Alami Merrouni, A.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Carbon catalysts for CO\n                    <sub>2</sub>\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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "<i>Ppp1r3b</i>\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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Carbon Trading & New Business Models",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "The importance of dynamic operation and renewable energy source on the economic feasibility of green ammonia",
    "doi": "10.1016/j.joule.2023.12.002",
    "url": "https://doi.org/10.1016/j.joule.2023.12.002",
    "journal": "Joule",
    "year": 2024,
    "authors": "Smith, C.; Torrente-Murciano, L.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "A taxonomy to guide the next generation of support mechanisms for electricity storage",
    "doi": "10.1016/j.joule.2024.03.015",
    "url": "https://doi.org/10.1016/j.joule.2024.03.015",
    "journal": "Joule",
    "year": 2024,
    "authors": "Mastropietro, P.; Rodilla, P.; Batlle, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Hope and hype for negative emissions",
    "doi": "10.1016/j.oneear.2024.09.002",
    "url": "https://doi.org/10.1016/j.oneear.2024.09.002",
    "journal": "One Earth",
    "year": 2024,
    "authors": "",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Robust projections of increasing land carbon storage in boreal and temperate forests under future climate change scenarios",
    "doi": "10.1016/j.oneear.2023.11.013",
    "url": "https://doi.org/10.1016/j.oneear.2023.11.013",
    "journal": "One Earth",
    "year": 2024,
    "authors": "Wei, N.; Xia, J.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "One-tenth of the EU’s sustainable biomethane coupled with carbon capture and storage can enable net-zero ammonia production",
    "doi": "10.1016/j.oneear.2024.11.005",
    "url": "https://doi.org/10.1016/j.oneear.2024.11.005",
    "journal": "One Earth",
    "year": 2024,
    "authors": "Istrate, R.; Nabera, A.; Pérez-Ramírez, J.; Guillén-Gosálbez, G.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "A techno-economic survey of energy storage media for long-duration energy storage applications",
    "doi": "10.1016/j.crsus.2023.100007",
    "url": "https://doi.org/10.1016/j.crsus.2023.100007",
    "journal": "Cell Reports Sustainability",
    "year": 2024,
    "authors": "Aspitarte, L.; Woodside, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Geospatial techno-economic and environmental assessment of different energy options for solid sorbent direct air capture",
    "doi": "10.1016/j.crsus.2024.100151",
    "url": "https://doi.org/10.1016/j.crsus.2024.100151",
    "journal": "Cell Reports Sustainability",
    "year": 2024,
    "authors": "Sendi, M.; Bui, M.; Mac Dowell, N.; Fennell, P.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Negative Emission Technologies",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "An empirical agent-based model of consumer co-adoption of low-carbon technologies to inform energy policy",
    "doi": "10.1016/j.crsus.2024.100268",
    "url": "https://doi.org/10.1016/j.crsus.2024.100268",
    "journal": "Cell Reports Sustainability",
    "year": 2024,
    "authors": "van der Kam, M.; Lagomarsino, M.; Azar, E.; Hahnel, U.; Parra, D.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "The role of negative emissions technologies in the UK’s net-zero strategy",
    "doi": "10.1016/j.crsus.2024.100126",
    "url": "https://doi.org/10.1016/j.crsus.2024.100126",
    "journal": "Cell Reports Sustainability",
    "year": 2024,
    "authors": "Bakkaloglu, S.; Mersch, M.; Sunny, N.; Markides, C.; Shah, N.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Future soil organic carbon stocks in China under climate change",
    "doi": "10.1016/j.crsus.2024.100179",
    "url": "https://doi.org/10.1016/j.crsus.2024.100179",
    "journal": "Cell Reports Sustainability",
    "year": 2024,
    "authors": "Wu, J.; Liu, S.; Peng, C.; Luo, Y.; Terrer, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Seasonal hydrogen energy storage sizing: Two-stage economic-safety optimization for integrated energy systems in northwest China",
    "doi": "10.1016/j.isci.2024.110691",
    "url": "https://doi.org/10.1016/j.isci.2024.110691",
    "journal": "iScience",
    "year": 2024,
    "authors": "Li, L.; Sun, Y.; Han, Y.; Chen, W.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Examining urban resilience through a food-water-energy nexus lens to understand the effects of climate change",
    "doi": "10.1016/j.isci.2024.110311",
    "url": "https://doi.org/10.1016/j.isci.2024.110311",
    "journal": "iScience",
    "year": 2024,
    "authors": "Tye, M.; Wilhelmi, O.; Boehnert, J.; Faye, E.; Milestad, R.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Deep mitigation for trade-embodied carbon emissions among the Belt and Road Initiative countries",
    "doi": "10.1016/j.isci.2024.110054",
    "url": "https://doi.org/10.1016/j.isci.2024.110054",
    "journal": "iScience",
    "year": 2024,
    "authors": "Zhang, L.; Zhao, W.; Chiu, Y.; Zhang, L.; Shi, Z.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Actual cost of electricity: An economic index to overcome levelized cost of electricity limits",
    "doi": "10.1016/j.isci.2024.109897",
    "url": "https://doi.org/10.1016/j.isci.2024.109897",
    "journal": "iScience",
    "year": 2024,
    "authors": "Manzolini, G.; Binotti, M.; Gentile, G.; Picotti, G.; Pilotti, L.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "PM\n                    <sub>2.5</sub>\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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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 &amp; 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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "On the origin of carbon sources in the electrochemical upgrade of CO2 from carbon capture solutions",
    "doi": "10.1016/j.joule.2023.05.010",
    "url": "https://doi.org/10.1016/j.joule.2023.05.010",
    "journal": "Joule",
    "year": 2023,
    "authors": "Shen, K.; Cheng, D.; Reyes-Lopez, E.; Jang, J.; Sautet, P.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Future demand for electricity generation materials under different climate mitigation scenarios",
    "doi": "10.1016/j.joule.2023.01.001",
    "url": "https://doi.org/10.1016/j.joule.2023.01.001",
    "journal": "Joule",
    "year": 2023,
    "authors": "Wang, S.; Hausfather, Z.; Davis, S.; Lloyd, J.; Olson, E.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Trading rights to consume wind in presence of farm-farm interactions",
    "doi": "10.1016/j.joule.2023.05.015",
    "url": "https://doi.org/10.1016/j.joule.2023.05.015",
    "journal": "Joule",
    "year": 2023,
    "authors": "Kenis, M.; Lanzilao, L.; Bruninx, K.; Meyers, J.; Delarue, E.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Alternative, but expensive, energy transition scenario featuring carbon capture and utilization can preserve existing energy demand technologies",
    "doi": "10.1016/j.oneear.2023.06.005",
    "url": "https://doi.org/10.1016/j.oneear.2023.06.005",
    "journal": "One Earth",
    "year": 2023,
    "authors": "Oshiro, K.; Fujimori, S.; Hasegawa, T.; Asayama, S.; Shiraki, H.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Solar geoengineering and carbon removal significantly lower economic climate damages",
    "doi": "10.1016/j.oneear.2023.09.004",
    "url": "https://doi.org/10.1016/j.oneear.2023.09.004",
    "journal": "One Earth",
    "year": 2023,
    "authors": "Liu, A.; Moore, J.; Cheng, X.; Chen, Y.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Demand-side emission reduction through behavior change or technology adoption? Empirical evidence from UK heating, mobility, and electricity use",
    "doi": "10.1016/j.oneear.2023.03.012",
    "url": "https://doi.org/10.1016/j.oneear.2023.03.012",
    "journal": "One Earth",
    "year": 2023,
    "authors": "Geels, F.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Increasing meteorological drought under climate change reduces terrestrial ecosystem productivity and carbon storage",
    "doi": "10.1016/j.oneear.2023.09.007",
    "url": "https://doi.org/10.1016/j.oneear.2023.09.007",
    "journal": "One Earth",
    "year": 2023,
    "authors": "Zeng, Z.; Wu, W.; Li, Y.; Huang, C.; Zhang, X.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "journal": "iScience",
    "year": 2023,
    "authors": "Qi, L.; Wang, Y.; Song, J.; Yin, C.; Yan, J.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Solar PV & Storage",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "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.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "FLEXERGY",
    "subcategory": "Electric Vehicles & Mobility",
    "direction_label": "Demand Response & New Mobilities & Urban Planning",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "FLEXERGY",
    "subcategory": "Demand Response",
    "direction_label": "Demand Response & New Mobilities & Urban Planning",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Battery anode interphase construction via carbon capture",
    "doi": "10.1016/j.joule.2022.04.019",
    "url": "https://doi.org/10.1016/j.joule.2022.04.019",
    "journal": "Joule",
    "year": 2022,
    "authors": "Shang, Y.; Kundu, D.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Private risk and social resilience in liberalized electricity markets",
    "doi": "10.1016/j.joule.2022.01.004",
    "url": "https://doi.org/10.1016/j.joule.2022.01.004",
    "journal": "Joule",
    "year": 2022,
    "authors": "Mays, J.; Craig, M.; Kiesling, L.; Macey, J.; Shaffer, B.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Carbon Trading & New Business Models",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Policy-driven solar innovation and deployment remains critical for US grid decarbonization",
    "doi": "10.1016/j.joule.2022.07.012",
    "url": "https://doi.org/10.1016/j.joule.2022.07.012",
    "journal": "Joule",
    "year": 2022,
    "authors": "O’Shaughnessy, E.; Ardani, K.; Denholm, P.; Mai, T.; Silverman, T.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Toward solar-driven carbon recycling",
    "doi": "10.1016/j.joule.2022.01.001",
    "url": "https://doi.org/10.1016/j.joule.2022.01.001",
    "journal": "Joule",
    "year": 2022,
    "authors": "Lin, H.; Luo, S.; Zhang, H.; Ye, J.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Building sustainability into battery value chains",
    "doi": "10.1016/j.oneear.2022.03.002",
    "url": "https://doi.org/10.1016/j.oneear.2022.03.002",
    "journal": "One Earth",
    "year": 2022,
    "authors": "",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Plant-level mitigation strategies could enable carbon neutrality by 2060 and reduce non-CO2 emissions in China’s iron and steel sector",
    "doi": "10.1016/j.oneear.2022.07.006",
    "url": "https://doi.org/10.1016/j.oneear.2022.07.006",
    "journal": "One Earth",
    "year": 2022,
    "authors": "Li, Z.; Hanaoka, T.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Carbon capture and storage investment: Fiddling while the planet burns",
    "doi": "10.1016/j.oneear.2022.03.008",
    "url": "https://doi.org/10.1016/j.oneear.2022.03.008",
    "journal": "One Earth",
    "year": 2022,
    "authors": "Pratama, Y.; Mac Dowell, N.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "The role of innovation for economy and sustainability of photovoltaic modules",
    "doi": "10.1016/j.isci.2022.105208",
    "url": "https://doi.org/10.1016/j.isci.2022.105208",
    "journal": "iScience",
    "year": 2022,
    "authors": "Peters, I.; Hauch, J.; Brabec, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Solar PV & Storage",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Global scenarios of household access to modern energy services under climate mitigation policy",
    "doi": "10.1038/s41560-021-00871-0",
    "url": "https://doi.org/10.1038/s41560-021-00871-0",
    "journal": "Nature Energy",
    "year": 2021,
    "authors": "Poblete-Cazenave, M.; Pachauri, S.; Byers, E.; 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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Economic, environmental and grid-resilience benefits of converting diesel trains to battery-electric",
    "doi": "10.1038/s41560-021-00915-5",
    "url": "https://doi.org/10.1038/s41560-021-00915-5",
    "journal": "Nature Energy",
    "year": 2021,
    "authors": "Popovich, N.; Rajagopal, D.; Tasar, E.; Phadke, A.",
    "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",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Climate mitigation scenarios with persistent COVID-19-related energy demand changes",
    "doi": "10.1038/s41560-021-00904-8",
    "url": "https://doi.org/10.1038/s41560-021-00904-8",
    "journal": "Nature Energy",
    "year": 2021,
    "authors": "Kikstra, J.; Vinca, A.; Lovat, F.; Boza-Kiss, B.; van Ruijven, B.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Life cycle assessment of recycling strategies for perovskite photovoltaic modules",
    "doi": "10.1038/s41893-021-00737-z",
    "url": "https://doi.org/10.1038/s41893-021-00737-z",
    "journal": "Nature Sustainability",
    "year": 2021,
    "authors": "Tian, X.; Stranks, S.; You, F.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "CleanTech",
    "subcategory": "Solar PV & Storage",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Global bioenergy with carbon capture and storage potential is largely constrained by sustainable irrigation",
    "doi": "10.1038/s41893-021-00740-4",
    "url": "https://doi.org/10.1038/s41893-021-00740-4",
    "journal": "Nature Sustainability",
    "year": 2021,
    "authors": "Ai, Z.; Hanasaki, N.; Heck, V.; Hasegawa, T.; Fujimori, S.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Cutting through the noise on negative emissions",
    "doi": "10.1016/j.joule.2021.06.013",
    "url": "https://doi.org/10.1016/j.joule.2021.06.013",
    "journal": "Joule",
    "year": 2021,
    "authors": "Uden, S.; Dargusch, P.; Greig, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "The tricky geoeconomics of going low carbon",
    "doi": "10.1016/j.joule.2021.11.012",
    "url": "https://doi.org/10.1016/j.joule.2021.11.012",
    "journal": "Joule",
    "year": 2021,
    "authors": "Goldthau, A.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Evaluation in an Emergency: Assessing Transformative Energy Policy amidst the Climate Crisis",
    "doi": "10.1016/j.joule.2020.12.019",
    "url": "https://doi.org/10.1016/j.joule.2020.12.019",
    "journal": "Joule",
    "year": 2021,
    "authors": "Hampton, S.; Fawcett, T.; Rosenow, J.; Michaelis, C.; Mayne, R.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Upstream decarbonization through a carbon takeback obligation: An affordable backstop climate policy",
    "doi": "10.1016/j.joule.2021.10.012",
    "url": "https://doi.org/10.1016/j.joule.2021.10.012",
    "journal": "Joule",
    "year": 2021,
    "authors": "Jenkins, S.; Mitchell-Larson, E.; Ives, M.; Haszeldine, S.; Allen, M.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Multiscale design for system-wide peer-to-peer energy trading",
    "doi": "10.1016/j.oneear.2021.04.018",
    "url": "https://doi.org/10.1016/j.oneear.2021.04.018",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Morstyn, T.; Savelli, I.; Hepburn, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "EnergiTrade",
    "subcategory": "Urban Energy Management System",
    "direction_label": "Carbon Trading & New Business Models",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "UNFCCC must confront the political economy of net-negative emissions",
    "doi": "10.1016/j.oneear.2021.10.001",
    "url": "https://doi.org/10.1016/j.oneear.2021.10.001",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Mohan, A.; Geden, O.; Fridahl, M.; Buck, H.; Peters, G.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Sustainability footprints of a renewable carbon transition for the petrochemical sector within planetary boundaries",
    "doi": "10.1016/j.oneear.2021.04.001",
    "url": "https://doi.org/10.1016/j.oneear.2021.04.001",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Galán-Martín, Á.; Tulus, V.; Díaz, I.; Pozo, C.; Pérez-Ramírez, J.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Is there a role for carbon capture and storage in a just transition?",
    "doi": "10.1016/j.oneear.2021.10.022",
    "url": "https://doi.org/10.1016/j.oneear.2021.10.022",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Morrow, D.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Carbon capture and storage at the end of a lost decade",
    "doi": "10.1016/j.oneear.2021.10.002",
    "url": "https://doi.org/10.1016/j.oneear.2021.10.002",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Martin-Roberts, E.; Scott, V.; Flude, S.; Johnson, G.; Haszeldine, R.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways",
    "doi": "10.1016/j.oneear.2021.10.024",
    "url": "https://doi.org/10.1016/j.oneear.2021.10.024",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Grant, N.; Hawkes, A.; Napp, T.; Gambhir, A.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Global agricultural trade and land system sustainability: Implications for ecosystem carbon storage, biodiversity, and human nutrition",
    "doi": "10.1016/j.oneear.2021.09.006",
    "url": "https://doi.org/10.1016/j.oneear.2021.09.006",
    "journal": "One Earth",
    "year": 2021,
    "authors": "Kastner, T.; Chaudhary, A.; Gingrich, S.; Marques, A.; Persson, U.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "How limitations in energy access, poverty, and socioeconomic disparities compromise health interventions for outbreaks in urban settings",
    "doi": "10.1016/j.isci.2021.103389",
    "url": "https://doi.org/10.1016/j.isci.2021.103389",
    "journal": "iScience",
    "year": 2021,
    "authors": "Fefferman, N.; Chen, C.; Bonilla, G.; Nelson, H.; Kuo, C.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Demand Response & New Mobilities & Urban Planning",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Why a Scialog on negative emissions science?",
    "doi": "10.1016/j.isci.2021.103188",
    "url": "https://doi.org/10.1016/j.isci.2021.103188",
    "journal": "iScience",
    "year": 2021,
    "authors": "Michelson, E.; Feig, A.; Wiener, R.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "The need for a portfolio of solutions rooted in common messaging to facilitate negative emissions science",
    "doi": "10.1016/j.isci.2021.103053",
    "url": "https://doi.org/10.1016/j.isci.2021.103053",
    "journal": "iScience",
    "year": 2021,
    "authors": "Hatzell, M.; Wilcox, J.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "Novel Low/Zero Carbon Technologies",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "title": "Reducing the life cycle environmental impact of electric vehicles through emissions-responsive charging",
    "doi": "10.1016/j.isci.2021.103499",
    "url": "https://doi.org/10.1016/j.isci.2021.103499",
    "journal": "iScience",
    "year": 2021,
    "authors": "Tang, Y.; Cockerill, T.; Pimm, A.; Yuan, X.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "FLEXERGY",
    "subcategory": "Electric Vehicles & Mobility",
    "direction_label": "Demand Response & New Mobilities & Urban Planning",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Quantifying techno-economic indicators' impact on isolated renewable energy systems",
    "doi": "10.1016/j.isci.2021.102730",
    "url": "https://doi.org/10.1016/j.isci.2021.102730",
    "journal": "iScience",
    "year": 2021,
    "authors": "Javed, M.; Ma, T.; Mousavi, N.; Ahmed, S.; Lund, H.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Evaluating the role of behavior and social class in electric vehicle adoption and charging demands",
    "doi": "10.1016/j.isci.2021.102914",
    "url": "https://doi.org/10.1016/j.isci.2021.102914",
    "journal": "iScience",
    "year": 2021,
    "authors": "Lee, R.; Brown, S.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "FLEXERGY",
    "subcategory": "Electric Vehicles & Mobility",
    "direction_label": "Demand Response & New Mobilities & Urban Planning",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Financial viability of electric vehicle lithium-ion battery recycling",
    "doi": "10.1016/j.isci.2021.102787",
    "url": "https://doi.org/10.1016/j.isci.2021.102787",
    "journal": "iScience",
    "year": 2021,
    "authors": "Lander, L.; Cleaver, T.; Rajaeifar, M.; Nguyen-Tien, V.; Elliott, R.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "FLEXERGY",
    "subcategory": "Electric Vehicles & Mobility",
    "direction_label": "Demand Response & New Mobilities & Urban Planning",
    "refined_category": "LCA & Sustainability"
  },
  {
    "title": "Spurring low-carbon electrosynthesis through energy and innovation policy",
    "doi": "10.1016/j.isci.2021.102045",
    "url": "https://doi.org/10.1016/j.isci.2021.102045",
    "journal": "iScience",
    "year": 2021,
    "authors": "Schmidt, T.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "Inequitable and heterogeneous impacts on electricity consumption from COVID-19 mitigation measures",
    "doi": "10.1016/j.isci.2021.103231",
    "url": "https://doi.org/10.1016/j.isci.2021.103231",
    "journal": "iScience",
    "year": 2021,
    "authors": "Lou, J.; Qiu, Y.; Ku, A.; Nock, D.; Xing, B.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Calcification-driven CO\n                    <sub>2</sub>\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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Climate Mitigation"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "LCA & Sustainability"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Carbon Capture & Storage"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "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",
    "refined_category": "Policy & Social Factors"
  },
  {
    "title": "The Importance of Developing Climate-Resilient Pathways for Energy Transition and Climate Change Adaptation",
    "doi": "10.1016/j.oneear.2020.09.013",
    "url": "https://doi.org/10.1016/j.oneear.2020.09.013",
    "journal": "One Earth",
    "year": 2020,
    "authors": "Nik, V.; Perera, A.",
    "abstract": "",
    "data_url": "",
    "source": "CrossRef",
    "direction": "DigiEnergy",
    "subcategory": "Load Forecasting & Demand Management",
    "direction_label": "AI & Data Science for Urban Energy Systems",
    "refined_category": "Climate Mitigation"
  },
  {
    "title": "Variable Impacts of Climate Change on Blue Carbon",
    "doi": "10.1016/j.oneear.2020.07.010",
    "url": "https://doi.org/10.1016/j.oneear.2020.07.010",
    "journal": "One Earth",
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    "authors": "Lovelock, C.; Reef, R.",
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    "title": "Forests: Carbon sequestration, biomass energy, or both?",
    "doi": "10.1126/sciadv.aay6792",
    "url": "https://doi.org/10.1126/sciadv.aay6792",
    "journal": "Science Advances",
    "year": 2020,
    "authors": "Favero, A.; Daigneault, A.; Sohngen, B.",
    "abstract": "Woody bioenergy demand and carbon sequestration payments increase forest area and produce net carbon benefits.",
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    "url": "https://doi.org/10.1126/sciadv.abb0055",
    "journal": "Science Advances",
    "year": 2020,
    "authors": "Tian, X.; Stranks, S.; You, F.",
    "abstract": "Scalable and high-efficiency perovskite tandem solar cells with long lifetime pave the way for sustainable photovoltaics.",
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