Short-term wind power prediction based on multiscale numerical simulation coupled with deep learning
Chongqing University · PLA Army Service Academy · +2 more institutions
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Abstract
No abstract available for this paper.
Citation impact
46
total citations
- FWCI
- 26.52
- Percentile
- 100%
- References
- 52
Citations per year
Authors
7Topics & keywords
Topics
Keywords
- Term (time)
- Wind power
- Computer science
- Meteorology
- Environmental science
- Engineering
- Physics
- Electrical engineering
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.
Funding
- NNNational Natural Science Foundation of ChinaAwards: 52208463, 52221002, 52321165649
- CAChina Academy of Space TechnologyAward: 2023QNRC001
- VAVenture and Innovation Support Program for Chongqing Overseas ReturneesAward: cx2024064
- HEHigher Education Discipline Innovation ProjectAward: B18062
- NKNational Key Research and Development Program of ChinaAward: 2022YFB4201400
- FRFundamental Research Funds for the Central UniversitiesAward: 2022CDJQY-009