Improved Deep Q-Network for User-Side Battery Energy Storage Charging and Discharging Strategy in Industrial Parks.

Chen, Shuai; Jiang, Chengpeng; Li, Jinglin; Xiang, Jinwei; Xiao, Wendong

Chen, Shuai; Jiang, Chengpeng; Li, Jinglin; Xiang, Jinwei; Xiao, Wendong.

Afiliación

Chen S; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Jiang C; Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Li J; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Xiang J; Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Xiao W; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Entropy (Basel) ; 23(10)2021 Oct 06.

Article en En | MEDLINE | ID: mdl-34682035

Palabras clave

battery energy storage; charging and discharging strategies; deep Q-network; industrial parks

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China

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