Robust Energy Management System With Safe Reinforcement Learning Using Short-Horizon Forecasts
Author:
Affiliation:
1. Department of Data Science, Sejong University, Seoul, South Korea
2. Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea
Funder
National Research Foundation of Korea (NRF) Grant
Korean Government
ICT Research and Development Program of MSIT/IITP
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10106635/10029882.pdf?arnumber=10029882
Reference6 articles.
1. Safe reinforcement learning by imagining the near future;thomas;Proc Adv Neural Inf Process Syst,2021
2. Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning
3. Human-level control through deep reinforcement learning
4. Ultra-Short-Term Spatiotemporal Forecasting of Renewable Resources: An Attention Temporal Convolutional Network-Based Approach
5. Technological advancements towards the net-zero energy communities: A review on 23 case studies around the globe
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