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Artificial Intelligence Based Smart Energy Community Management: A Reinforcement Learning Approach

Suyang Zhou Zijian Hu Wei Gu Meng Jiang Xiao-Ping Zhang

中国电机工程学会电力与能源系统学报（英文版）2019，Vol.5Issue(1)：1-10,10.

中国电机工程学会电力与能源系统学报（英文版）2019，Vol.5Issue(1)：1-10,10.DOI:10.17775/CSEEJPES.2018.00840

Artificial Intelligence Based Smart Energy Community Management: A Reinforcement Learning Approach

Suyang Zhou ¹Zijian Hu ¹Wei Gu ¹Meng Jiang ²Xiao-Ping Zhang³

作者信息

1. School of Electrical Engineering, Southeast University, Nanjing, China
2. Department of Computer Science and Engineering,University of Notre Dame, USA
3. School of Electronic, Electrical and System Engineering, University of Birmingham, U.K.
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摘要

关键词

Artificial intelligence/distributed management/fuzzy Q-learning/microgrid/reinforcement learning

Key words

Artificial intelligence/distributed management/fuzzy Q-learning/microgrid/reinforcement learning

引用本文复制引用

Suyang Zhou,Zijian Hu,Wei Gu,Meng Jiang,Xiao-Ping Zhang..Artificial Intelligence Based Smart Energy Community Management: A Reinforcement Learning Approach[J].中国电机工程学会电力与能源系统学报（英文版）,2019,5(1):1-10,10.

基金项目

This work was supported by the National Natural Science Foundation of China (No.51807024). （No.51807024）

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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