Real-Time Operation Management for Battery Swapping-Charging System via Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Real-Time Operation Management for Battery Swapping-Charging System via Multi-Agent Deep Reinforcement Learning

Author:

Liang Yanchang¹^ORCID,Ding Zhaohao¹^ORCID,Zhao Tianyang²^ORCID,Lee Wei-Jen³^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China

2. Energy and Electric Research Center, Jinan University, Zhuhai, China

3. Energy Systems Research Center, The University of Texas at Arlington, Arlington, TX, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program

CAST

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

Reference40 articles.

2. Particle swarm optimization;eberhart;Proc IEEE Int Conf Neural Netw,1995

4. The application of Monte Carlo simulation for inventory management: A case study of a retail store;leepaitoon;Int J Comput Internet Manag,2019

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