Author

Maissa Farhat

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Open access Oct 2026

A Two-Stage Unsupervised–Supervised Machine Learning Framework for Maximum Power Point Tracking of Photovoltaic Systems

Maximum Power Point Tracking (MPPT) is essential for maximizing photovoltaic (PV) energy extraction under changing operating conditions. This paper investigates a two-stage machine-learning framework combining K-means or fuzzy C-means (FCM) clustering of irradiance–temperature conditions with region-specific support ve...

Maissa Farhat, Maen Takruri, O. Barambones et al. · Engineer · 0 citations

Open access Oct 2026

A Hybrid Framework for Photovoltaic Monitoring and Fault Diagnosis: I–V Curve Analysis, IEC 60891 Standardization, and TLBO-Based Single-Diode Model Parameter Estimation

The rapid expansion of photovoltaic (PV) installations necessitates advanced monitoring solutions to ensure optimal performance, early fault detection, and long-term reliability. This study presents a hybrid methodology for real-time PV module monitoring and fault diagnosis, integrating I–V curve analysis, IEC 60891 st...

Maissa Farhat, A. Dekhane, Smail Mansouri et al. · Engineer · 0 citations