Machine learning for a sustainable energy future
Shanghai Jiao Tong University · University of Toronto · +5 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
457
total citations
- FWCI
- 29.54
- Percentile
- 100%
- References
- 181
Citations per year
Authors
9- ZYZhenpeng YaoCorresponding
Shanghai Jiao Tong University, University of Toronto
- YLYanwei Lum
Agency for Science, Technology and Research, University of Toronto, Singapore Institute for Clinical Sciences, Institute of Materials Research and Engineering
- AJAndrew Johnston
University of Toronto
- LML.M. Mejía-Mendoza
University of Toronto
- XZXin Zhou
Nanyang Technological University
Topics & keywords
Topics
Keywords
- Renewable energy
- Computer science
- Photovoltaics
- Energy engineering
- Energy management
- Workflow
- Fossil fuel
- Energy storage
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.
Funding
- UDU.S. Department of EnergyAwards: DE-SC0019300, DE-FG02-, DE-FG02-17ER16362, DE-FG02
- CICanadian Institute for Advanced ResearchAward: FS20-154 APPT.2378
- NRNational Research Foundation
- NRNational Research Foundation SingaporeAwards: NRF2015ENC-GDCR01001-003, NRF-NRFF2017-04, NRF2017EWT-EP003-023, NRF2015ENC-GBICRD001-012
- EMEnergy Market Authority of SingaporeAward: NRF2017EWT-EP003-023
- UOUniversity of TorontoAward: HR00111920027
- CFConnaught FundAward: GC 2012-13
- MOMinistry of Colleges and Universities
- DADefense Advanced Research Projects AgencyAward: HR00111920027
- OOOffice of ScienceAwards: DE-SC0019300, DE-FG02-17ER16362
- ARAdvanced Research Projects Agency
- NSNatural Sciences and Engineering Research Council of CanadaAwards: grant RGPIN-2017-06477, RGPIN-2017, RGPIN-2017-06477, HR00111920027
- BEBasic Energy SciencesAwards: DE-SC0019300, DE-FG02, DE-FG02-17ER16362