Reinforcement Learning-Based Energy Trading and Management of Regional Interconnected Microgrids

Author:

Liu Shuai1ORCID,Han Siyuan1ORCID,Zhu Shanying2ORCID

Affiliation:

1. School of Control Science and Engineering, Shandong University, Jinan, China

2. Department of Automation, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Reference35 articles.

1. On-Line Building Energy Optimization Using Deep Reinforcement Learning

2. Multi-agent actor–critic for mixed cooperative-competitive environments;lowe;Proc Adv Neural Inf Process Syst,2017

3. An Adaptive $Q$-Learning Algorithm Developed for Agent-Based Computational Modeling of Electricity Market

4. Continuous control with deep reinforcement learning;lillicrap;Proc Int Conf Learn Rep,2016

5. A Learning-Based Power Management Method for Networked Microgrids Under Incomplete Information

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