Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks With Leveraged Spatial–Temporal Perception
Author:
Affiliation:
1. School of Electrical Engineering, Southeast University, Nanjing, China
2. School of Cyber Science and Engineering, Southeast University, Nanjing, China
3. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Shuangchuang Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10226523/10040615.pdf?arnumber=10040615
Reference57 articles.
1. A Review of Deep Reinforcement Learning for Smart Building Energy Management
2. Theory and Applications of Robust Optimization
3. Deep Reinforcement Learning for Strategic Bidding in Electricity Markets
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