Cascade Hydropower Plant Operational Dispatch Control Using Deep Reinforcement Learning on a Digital Twin Environment
In this work, we propose the use of a reinforcement learning (RL) agent for the control of a cascade hydropower plant system. Generally, this job is handled by power plant dispatchers who manually adjust power plant electricity production to meet the changing demand set by energy traders. This work...
Gardado en:
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-09-01
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| Series: | Energies |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/1996-1073/18/17/4660 |
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