title stringlengths 17 177 | doi stringlengths 22 28 | url stringlengths 38 44 | journal stringclasses 13
values | year int64 2.02k 2.03k | authors stringlengths 0 81 | abstract stringlengths 0 500 | data_url stringclasses 1
value | source stringclasses 1
value | direction stringclasses 4
values | subcategory stringclasses 13
values | direction_label stringclasses 4
values | refined_category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
The geographic disparity of historical greenhouse emissions and projected climate change | 10.1126/sciadv.abe4342 | https://doi.org/10.1126/sciadv.abe4342 | Science Advances | 2,021 | Van Houtan, K.; Tanaka, K.; Gagné, T.; Becker, S. | A new global climate map reveals steep inequalities between historical emissions and future warming. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
A synthetic energy dataset for non-intrusive load monitoring in households | 10.1038/s41597-020-0434-6 | https://doi.org/10.1038/s41597-020-0434-6 | Scientific Data | 2,020 | Klemenjak, C.; Kovatsch, C.; Herold, M.; Elmenreich, W. | 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... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Social dynamics of energy behaviour | 10.1038/s41560-020-0595-8 | https://doi.org/10.1038/s41560-020-0595-8 | Nature Energy | 2,020 | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |||
The importance of social relations in shaping energy demand | 10.1038/s41560-020-0553-5 | https://doi.org/10.1038/s41560-020-0553-5 | Nature Energy | 2,020 | Hargreaves, T.; Middlemiss, L. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Quantifying the impacts of climate change and extreme climate events on energy systems | 10.1038/s41560-020-0558-0 | https://doi.org/10.1038/s41560-020-0558-0 | Nature Energy | 2,020 | Perera, A.; Nik, V.; Chen, D.; Scartezzini, J.; Hong, T. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Multifaceted political and social drivers inform wind energy repowering decisions and potential | 10.1038/s41560-020-00733-1 | https://doi.org/10.1038/s41560-020-00733-1 | Nature Energy | 2,020 | Kitzing, L.; Jensen, M.; Telsnig, T.; Lantz, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Climate co-benefits of air quality and clean energy policy in India | 10.1038/s41893-020-00666-3 | https://doi.org/10.1038/s41893-020-00666-3 | Nature Sustainability | 2,020 | Tibrewal, K.; Venkataraman, C. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Energy use and the sustainability of intensifying food production | 10.1038/s41893-020-0503-z | https://doi.org/10.1038/s41893-020-0503-z | Nature Sustainability | 2,020 | Schramski, J.; Woodson, C.; Brown, J. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | LCA & Sustainability | ||
Climate change extremes and photovoltaic power output | 10.1038/s41893-020-00643-w | https://doi.org/10.1038/s41893-020-00643-w | Nature Sustainability | 2,020 | Feron, S.; Cordero, R.; Damiani, A.; Jackson, R. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Climate Mitigation | ||
Net emission reductions from electric cars and heat pumps in 59 world regions over time | 10.1038/s41893-020-0488-7 | https://doi.org/10.1038/s41893-020-0488-7 | Nature Sustainability | 2,020 | Knobloch, F.; Hanssen, S.; Lam, A.; Pollitt, H.; Salas, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Hydrological limits to carbon capture and storage | 10.1038/s41893-020-0532-7 | https://doi.org/10.1038/s41893-020-0532-7 | Nature Sustainability | 2,020 | Rosa, L.; Reimer, J.; Went, M.; D’Odorico, P. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Solar photovoltaic interventions have reduced rural poverty in China | 10.1038/s41467-020-15826-4 | https://doi.org/10.1038/s41467-020-15826-4 | Nature Communications | 2,020 | Zhang, H.; Wu, K.; Qiu, Y.; Chan, G.; Wang, S. | 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 investme... | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | Policy & Social Factors | |
Entropy and interfacial energy driven self-healable polymers | 10.1038/s41467-020-14911-y | https://doi.org/10.1038/s41467-020-14911-y | Nature Communications | 2,020 | Hornat, C.; Urban, M. | 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 develo... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Renewable energy production will exacerbate mining threats to biodiversity | 10.1038/s41467-020-17928-5 | https://doi.org/10.1038/s41467-020-17928-5 | Nature Communications | 2,020 | Sonter, L.; Dade, M.; Watson, J.; Valenta, R. | 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... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
The critical role of humidity in modeling summer electricity demand across the United States | 10.1038/s41467-020-15393-8 | https://doi.org/10.1038/s41467-020-15393-8 | Nature Communications | 2,020 | Maia-Silva, D.; Kumar, R.; Nateghi, R. | 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 durin... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Climate Mitigation | |
Drought and climate change impacts on cooling water shortages and electricity prices in Great Britain | 10.1038/s41467-020-16012-2 | https://doi.org/10.1038/s41467-020-16012-2 | Nature Communications | 2,020 | Byers, E.; Coxon, G.; Freer, J.; Hall, J. | 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 electricit... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | |
Grid cells are modulated by local head direction | 10.1038/s41467-020-17500-1 | https://doi.org/10.1038/s41467-020-17500-1 | Nature Communications | 2,020 | Gerlei, K.; Passlack, J.; Hawes, I.; Vandrey, B.; Stevens, H. | 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 gr... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Mapping global carbon footprint in China | 10.1038/s41467-020-15883-9 | https://doi.org/10.1038/s41467-020-15883-9 | Nature Communications | 2,020 | Yang, Y.; Qu, S.; Cai, B.; Liang, S.; Wang, Z. | 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―simulta... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Climate Mitigation | |
Carbon footprint of global natural gas supplies to China | 10.1038/s41467-020-14606-4 | https://doi.org/10.1038/s41467-020-14606-4 | Nature Communications | 2,020 | Gan, Y.; El-Houjeiri, H.; Badahdah, A.; Lu, Z.; Cai, H. | 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 an... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | Policy & Social Factors | |
Energy consumption and cooperation for optimal sensing | 10.1038/s41467-020-14806-y | https://doi.org/10.1038/s41467-020-14806-y | Nature Communications | 2,020 | Ngampruetikorn, V.; Schwab, D.; Stephens, G. | 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 strateg... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | |
Renewable energy targets may undermine their sustainability | 10.1038/s41558-020-00939-x | https://doi.org/10.1038/s41558-020-00939-x | Nature Climate Change | 2,020 | Spillias, S.; Kareiva, P.; Ruckelshaus, M.; McDonald-Madden, E. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | LCA & Sustainability | ||
Emissions trading | 10.1038/s41558-020-0812-2 | https://doi.org/10.1038/s41558-020-0812-2 | Nature Climate Change | 2,020 | Wake, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Global wind patterns and the vulnerability of wind-dispersed species to climate change | 10.1038/s41558-020-0848-3 | https://doi.org/10.1038/s41558-020-0848-3 | Nature Climate Change | 2,020 | Kling, M.; Ackerly, D. | CrossRef | DigiEnergy | Renewable Energy Resource Mapping | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
The climate change mitigation potential of bioenergy with carbon capture and storage | 10.1038/s41558-020-0885-y | https://doi.org/10.1038/s41558-020-0885-y | Nature Climate Change | 2,020 | Hanssen, S.; Daioglou, V.; Steinmann, Z.; Doelman, J.; Van Vuuren, D. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
A near-term to net zero alternative to the social cost of carbon for setting carbon prices | 10.1038/s41558-020-0880-3 | https://doi.org/10.1038/s41558-020-0880-3 | Nature Climate Change | 2,020 | Kaufman, N.; Barron, A.; Krawczyk, W.; Marsters, P.; McJeon, H. | CrossRef | EnergiTrade | Energy & Carbon Trading | Carbon Trading & New Business Models | Policy & Social Factors | ||
Model of Carbon Footprint Assessment for the Life Cycle of the System of Wastewater Collection, Transport and Treatment | 10.1038/s41598-020-62798-y | https://doi.org/10.1038/s41598-020-62798-y | Scientific Reports | 2,020 | Zawartka, P.; Burchart-Korol, D.; Blaut, A. | 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 sys... | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Carbon Trading & New Business Models | LCA & Sustainability | |
Lowering the Energy Cost of Carbon Capture | 10.1016/j.joule.2020.06.017 | https://doi.org/10.1016/j.joule.2020.06.017 | Joule | 2,020 | Sutherland, B. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Negative Emissions Technologies: The Tradeoffs of Air-Capture Economics | 10.1016/j.joule.2020.02.007 | https://doi.org/10.1016/j.joule.2020.02.007 | Joule | 2,020 | Eisaman, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | ||
Economic Impact of a Unilateral Carbon Price | 10.1016/j.joule.2020.01.019 | https://doi.org/10.1016/j.joule.2020.01.019 | Joule | 2,020 | Sutherland, B. | CrossRef | EnergiTrade | Energy & Carbon Trading | Carbon Trading & New Business Models | Policy & Social Factors | ||
De-risking Renewable Energy Investments in Developing Countries: A Multilateral Guarantee Mechanism | 10.1016/j.joule.2020.10.011 | https://doi.org/10.1016/j.joule.2020.10.011 | Joule | 2,020 | Matthäus, D.; Mehling, M. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
Long-Duration Electricity Storage Applications, Economics, and Technologies | 10.1016/j.joule.2019.11.009 | https://doi.org/10.1016/j.joule.2019.11.009 | Joule | 2,020 | Albertus, P.; Manser, J.; Litzelman, S. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Policy & Social Factors | ||
The Importance of Developing Climate-Resilient Pathways for Energy Transition and Climate Change Adaptation | 10.1016/j.oneear.2020.09.013 | https://doi.org/10.1016/j.oneear.2020.09.013 | One Earth | 2,020 | Nik, V.; Perera, A. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Variable Impacts of Climate Change on Blue Carbon | 10.1016/j.oneear.2020.07.010 | https://doi.org/10.1016/j.oneear.2020.07.010 | One Earth | 2,020 | Lovelock, C.; Reef, R. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | AI & Data Science for Urban Energy Systems | Climate Mitigation | ||
Forests: Carbon sequestration, biomass energy, or both? | 10.1126/sciadv.aay6792 | https://doi.org/10.1126/sciadv.aay6792 | Science Advances | 2,020 | Favero, A.; Daigneault, A.; Sohngen, B. | Woody bioenergy demand and carbon sequestration payments increase forest area and produce net carbon benefits. | CrossRef | DigiEnergy | Load Forecasting & Demand Management | Novel Low/Zero Carbon Technologies | Carbon Capture & Storage | |
Life cycle energy use and environmental implications of high-performance perovskite tandem solar cells | 10.1126/sciadv.abb0055 | https://doi.org/10.1126/sciadv.abb0055 | Science Advances | 2,020 | Tian, X.; Stranks, S.; You, F. | Scalable and high-efficiency perovskite tandem solar cells with long lifetime pave the way for sustainable photovoltaics. | CrossRef | CleanTech | Solar PV & Storage | Novel Low/Zero Carbon Technologies | LCA & Sustainability |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.