Deep reinforcement learning-based energy management for design and control of off-grid renewable microgrids with dual-battery storage
Meeting the growing global electricity demand in remote and off-grid regions requires cost-effective and reliable power solutions that overcome the intermittency of renewable energy sources. This paper presents a comprehensive techno-economic optimization framework for the design and operation of of...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
SAGE Publishing
2026-03-01
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| Serier: | Energy Exploration & Exploitation |
| Online adgang: | https://doi.org/10.1177/01445987251387368 |
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