A LSTM-based approximate dynamic programming method for hydropower reservoir operation optimization

•ADP is proposed to avoid the redundant computation in DP’s recursive equation.•LSTM-based response surface model reduces intensive power output calculations.•ADP uses less time to provide satisfying results for hydropower reservoir operation. Dynamic programming (DP) is a classical method developed...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) Jg. 625; S. 130018
Hauptverfasser:	Feng, Zhong-kai, Luo, Tao, Niu, Wen-jing, Yang, Tao, Wang, Wen-chuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2023
Schlagworte:	Artificial intelligence China Curse of dimensionality Dynamic programming equations hydrology Long short-term memory neural networks power generation Reservoir operation Response surface response surface methodology water power China Long short-term memory Response surface Curse of dimensionality Dynamic programming Reservoir operation Artificial intelligence
ISSN:	0022-1694, 1879-2707
Online-Zugang:	Volltext
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