Robust PV fault diagnosis under data constraints using a hybrid vision transformer with cross-attention fusion and uncertainty-aware explainability
Solar photovoltaic (PV) systems are crucial in modern energy infrastructures for the shift to sustainable renewable energy, making accurate and reliable fault diagnosis essential for maximizing energy yield, operational efficiency, and system availability. However, reliable automated fault diagnosis faces challenges li...