Optimization strategies for real-time energy management of electric vehicles based on LSTM network learning

Optimization strategies for real-time energy management of electric vehicles based on LSTM network learning

The orderly control of electric vehicle load can improve the load characteristics of regional power grid and reduce the charging cost. Since it is impossible to predict the accurate access time and charging demand of electric vehicles in the future, it is impossible to make a global optimal arrangem...

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Bibliographic Details
Main Author:	Wenqi Zhu
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Energy Reports
Subjects:	Electric vehicle Layered architecture Short and long term memory neural network Deep learning Ordered scheduling strategy
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722022843

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