Deep Reinforcement Learning for Real-Time Energy Management in Smart Home-Reference-Cited by-同舟云学术

Deep Reinforcement Learning for Real-Time Energy Management in Smart Home

Published:2023-06 Issue:2 Volume:17 Page:2489-2499
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Wei Guixi¹,Chi Ming¹^ORCID,Liu Zhi-Wei¹^ORCID,Ge Mingfeng²^ORCID,Li Chaojie³^ORCID,Liu Xianggang¹

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China

3. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province of China

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/4267003/10146391/10066193.pdf?arnumber=10066193

Reference36 articles.

1. Multiagent Reinforcement Learning for Energy Management in Residential Buildings

2. The measurement and instrumentation data center,2021

3. A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

4. National climatic data center,2021

5. Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

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