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Meisam Mahdavi

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#reinforcement learning Open access Oct 2026

Reinforcement learning-enhanced three-layer hybrid BESS-hydrogen storage in renewable microgrids with adaptive reliability thresholds and degradation awareness

In low-carbon microgrids, hybrid battery-hydrogen storage is crucial for managing renewable energy variability. However, current optimization techniques overlook battery degradation and rely on static reliability standards that fail to adapt to changing system conditions. This paper presents a three-layer framework enh...

Meisam Mahdavi, Abdullah G. Alharbi, Amal Baqais et al. · 0 citations

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