Deep Reinforcement Learning for Intraday Multireservoir Hydropower Management
This study investigates the application of Reinforcement Learning (RL) to optimize intraday operations of hydropower reservoirs. Unlike previous approaches that focus on long-term planning with coarse temporal resolutions and discretized state-action spaces, we propose an RL framework tailored to th...
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Main Authors: | Rodrigo Castro-Freibott, Álvaro García-Sánchez, Francisco Espiga-Fernández, Guillermo González-Santander de la Cruz |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/13/1/151 |
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