Optimization of interpretable hydropower reservoir operation rules by denoising diffusion probabilistic model, parallel chaotic cooperation search algorithm and liquid neural network
Hohai University · Nanjing Hydraulic Research Institute · +3 more institutions
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Abstract
No abstract available for this paper.
Citation impact
4
total citations
- FWCI
- 50.62
- Percentile
- 99%
- References
- 40
Too recent for citation history.
Authors
6- YXYi-Fan XiaCorresponding
Hohai University
- ZFZhong-kai Fenga
- TGTie-sheng Guan
Nanjing Hydraulic Research Institute, Nanjing Water Conservancy Planning & Design Institute (China), State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering
- WNWen-jing Niu
Changjiang Water Resources Commission
- XYXin Yin
Nanjing Hydraulic Research Institute, State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering
Topics & keywords
Topics
Keywords
- Interpretability
- Hydropower
- Probabilistic logic
- Chaotic
- Artificial neural network
- Particle swarm optimization
- Electric power system
- Key (lock)
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Funding
- NNNational Natural Science Foundation of ChinaAwards: 52379009, 52441901, 52394234
- NSNatural Science Foundation of Hubei ProvinceAward: 2023AFD203
- NSNatural Science Foundation of Jiangsu ProvinceAward: BK20240189
- SKState Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringAward: 5240152E2