Memory-based quadratic interpolation optimization with reinforcement learning for robust PV parameter estimation

Abstract Solar cell parameter extraction is a critical yet challenging multimodal optimization problem, directly impacting the efficiency and modeling accuracy of photovoltaic (PV) systems. The Quadratic Interpolation Optimization (QIO) algorithm, while possessing strong exploitation capabilities, i...

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Autori principali:	Mohamed Ghetas, Mohamed Issa
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-12-01
Serie:	Scientific Reports
Soggetti:	Meta-heuristics Quadratic interpolation optimization Reinforcement learning Solar cells Parameter estimation
Accesso online:	https://doi.org/10.1038/s41598-025-27626-1
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