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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of hydrology (Amsterdam) Vol. 625; p. 130018
Main Authors:	Feng, Zhong-kai, Luo, Tao, Niu, Wen-jing, Yang, Tao, Wang, Wen-chuan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2023
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!