State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network

<p>The present paper estimates for the first time the State of Charge (SoC) of a high capacity grid-scale lithium-ion battery storage system used to improve the power profile in a distribution network. The proposed long short-term memory (LSTM) neural network model can overcome the problems as...

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Bibliographic Details
Main Author: Eyad Almaita (16855446) (author)
Other Authors: Saleh Alshkoor (17563014) (author), Emad Abdelsalam (14148831) (author), Fares Almomani (12585685) (author)
Published: 2022
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