Deep Learning Optimal Control for a Complex Hybrid Energy Storage System
Deep Reinforcement Learning (DRL) proved to be successful for solving complex control problems and has become a hot topic in the field of energy systems control, but for the particular case of thermal energy storage (TES) systems, only a few studies have been reported, all of them with a complexity...
Main Authors: | Gabriel Zsembinszki, Cèsar Fernández, David Vérez, Luisa F. Cabeza |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/11/5/194 |
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