Reward Shaping-Based Actor–Critic Deep Reinforcement Learning for Residential Energy Management-Reference-Cited by-同舟云学术

Reward Shaping-Based Actor–Critic Deep Reinforcement Learning for Residential Energy Management

Published:2023-03 Issue:3 Volume:19 Page:2662-2673
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Lu Renzhi¹^ORCID,Jiang Zhenyu¹,Wu Huaming²^ORCID,Ding Yuemin³^ORCID,Wang Dong⁴^ORCID,Zhang Hai-Tao¹^ORCID

Affiliation:

1. Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. Center for Applied Mathematics, Tianjin University, Tianjin, China

3. Department of Electrical and Electronic Engineering, University of Navarra, San Sebastian, Spain

4. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Science and Technology Project of State Grid Corporation of China

Fundamental Research Funds for the Central Universities

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources

Key Laboratory of Industrial Internet of Things and Networked Control

Open Fund of Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering at Wuhan University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering