Coordination for Multienergy Microgrids Using Multiagent Reinforcement Learning
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.
2. James Watt School of Engineering, University of Glasgow, Glasgow, U.K.
3. Department of Engineering, Brock University, St. Catharines, ON, Canada
Funder
EU Horizon 2020 Research and Innovation Program
Engineering and Physical Sciences Research Council
Integrated Development of Low-Carbon Energy Systems: A Whole-System Paradigm for Creating a National Strategy
Brock University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10081096/09760021.pdf?arnumber=9760021
Reference42 articles.
1. Hybrid Energy Sharing for Multiple Microgrids in an Integrated Heat–Electricity Energy System
2. Peer-to-Peer Multienergy and Communication Resource Trading for Interconnected Microgrids
3. Distributed Multi-Energy Operation of Coupled Electricity, Heating, and Natural Gas Networks
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