Optimal Scheduled Control Operation of Battery Energy Storage System using Model-Free Reinforcement Learning
Author:
Affiliation:
1. University of New South Wales,School of Engineering and Information Technology,Canberra,Australia.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032972/10032974/10033035.pdf?arnumber=10033035
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4. Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets
5. On-Line Building Energy Optimization Using Deep Reinforcement Learning
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1. Optimizing Energy Efficiency in Smart Factories: Battery Energy Storage Systems Integration Analysis;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11
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