Temperature prediction of battery energy storage plant based on EGA-BiLSTM

Temperature prediction of battery energy storage plant based on EGA-BiLSTM

Battery energy storage plants (BESPs) are more and more important in the future power systems. The industry desires a credible temperature prediction method to deliver a safe temperature range of the BESPs. This paper develops a bespoke methodology that combines the elitist preservation genetic algo...

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Bibliographic Details
Main Authors: Ling Jiang, Chunkai Yan, Xinsong Zhang, Bojun Zhou, Tianyu Cheng, Jiahao Zhao, Juping Gu
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Energy Reports
Subjects:
Battery energy storage plants
Temperature prediction
Elitist preservation genetic algorithm
Bidirectional long-short term memory network
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722004425

Internet

http://www.sciencedirect.com/science/article/pii/S2352484722004425

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