Offline DRL for Price-Based Demand Response: Learning From Suboptimal Data and Beyond-Reference-Cited by-同舟云学术

Offline DRL for Price-Based Demand Response: Learning From Suboptimal Data and Beyond

Published:2024-09 Issue:5 Volume:15 Page:4618-4635
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Qian Tao¹^ORCID,Liang Zeyu¹,Shao Chengcheng²^ORCID,Zhang Hongcai³^ORCID,Hu Qinran¹^ORCID,Wu Zaijun¹^ORCID

Affiliation:

1. School of Electrical Engineering, Southeast University, Nanjing, China

2. School of Electrical Engineering and the State Key Laboratory on Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China

3. Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China

Funder

National Natural Science Foundation of China

Jiangsu Key Laboratory of Smart Grid Technology and Equipment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165411/10643567/10480734.pdf?arnumber=10480734

Reference54 articles.

1. A Practical Pricing Approach to Smart Grid Demand Response Based on Load Classification

2. Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty

3. Long-Term Market Equilibrium in Smart Grid Paradigm With Introducing Demand Response Provider in Competition

4. Multi objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices

5. An Online Learning Framework for Targeting Demand Response Customers

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