Saud Wasly

Advanced data driven models based on machine learning for detection of faults and failures in solar based renewable energy systems

A novel framework that integrates Extended Kalman Filter (EKF) state estimation with uncertainty-aware graph learning for photovoltaic (PV) array fault detection and localization and demonstrates strong robustness to sensor noise and transient faults by leveraging physical uncertainty to guide graph topology.