Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach
Northeast Electric Power University · Huazhong University of Science and Technology · +2 more institutions
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Abstract
No abstract available for this paper.
Citation impact
241
total citations
- FWCI
- 20.96
- Percentile
- 100%
- References
- 43
Citations per year
Authors
7- YLYang LiCorresponding
Northeast Electric Power University, Huazhong University of Science and Technology
- YLYang Li
Northeast Electric Power University, Huazhong University of Science and Technology
- RWRuinong Wang
Huazhong University of Science and Technology
- YLYuanzheng Li
Northeast Electric Power University, Naval University of Engineering, Huazhong University of Science and Technology
- YLYuanzheng LiCorresponding
Northeast Electric Power University, Huazhong University of Science and Technology, Cranfield University
Topics & keywords
Topics
Keywords
- Computer science
- Reinforcement learning
- Wind power forecasting
- Robustness (evolution)
- Artificial intelligence
- Renewable energy
- Data sharing
- Openness to experience
UN Sustainable Development Goals
- Affordable and clean energy
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