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Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach

Yanni Wan Jiahu Qin Xinghuo Yu Tao Yang Yu Kang

自动化学报（英文版）2022，Vol.9Issue(1)：123-134,12.

Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach

Yanni Wan ¹Jiahu Qin ²Xinghuo Yu ³Tao Yang ⁴Yu Kang⁵

作者信息

1. Department of Automation,University of Science and Technology of China,Hefei 230027,China
2. Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,Hefei 230088,China
3. School of Engineering,RMIT University,VIC 3000,Australia
4. State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China
5. Department of Automation,State Key Laboratory of Fire Science,Institute of Advanced Technology,University of Science and Technology of China,Hefei 230027,China
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摘要

关键词

Demand response management (DRM)/Markovian decision process (MDP)/Monte Carlo simulation/reinforcement learning (RL)/smart grid

Key words

Demand response management (DRM)/Markovian decision process (MDP)/Monte Carlo simulation/reinforcement learning (RL)/smart grid

引用本文复制引用

Yanni Wan,Jiahu Qin,Xinghuo Yu,Tao Yang,Yu Kang..Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach[J].自动化学报（英文版）,2022,9(1):123-134,12.

基金项目

This work was supported in part by the National Natural Science Foundation of China(61922076,61725304,61873252,61991403,61991400)and in part by the Australian Research Council Discovery Program(DP200101199). （61922076,61725304,61873252,61991403,61991400）

自动化学报（英文版）

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ISSN：2329-9266

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