Fault prediction of electric vehicle charging stations based on cooperative game strategy and DBO-BiLSTM-Reference-Cited by-同舟云学术

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Fault prediction of electric vehicle charging stations based on cooperative game strategy and DBO-BiLSTM

Published:2024-05-24 Issue: Volume:43 Page:1307-1311
ISSN:
Container-title:2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
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Author:

Tian Liguo¹,Shang Chunhu¹,Li Meng¹,Chen Qingbin¹

Affiliation:

1. Tianjin University of Technology and Education,College of Automation and Electrical Engineering,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574856/10574899/10575222.pdf?arnumber=10575222

Reference5 articles.

1. Real-time fault monitoring method of charging pile based on improved RNN neural network

2. Research on fault diagnosis of DC charger power device based on wavelet packet analysis[J];YANG;Electrical & Energy Management Technology,2018

3. Research on fault diagnosis of V2G charging pile based on random forest algorithm[J/OL];WANG;Electrical Measurement & Instrumentation,2021

4. Gas turbine sensor fault diagnosis method based on SSA and BiLSTM with attention mechanism[J];CHENG;Journal of Chinese Society of Power Engineering,2023

5. Using cooperative game theory to contribute to strategy research

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