Author

Mohammed A. Atiea

2 papers indexed here

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Open access Oct 2026

Explainable Ensemble EfficientNet Deep Learning for PV Fault Diagnosis

Photovoltaic (PV) systems play a vital role in expanding clean and renewable energy generation, making reliable operation and efficient maintenance essential for improving energy security, reducing operational costs, and supporting sustainable energy infrastructure. Traditional fault inspection methods are labor-intens...

Mohammed H. Alqahtani, Ali S. Aljumah, Abdullah M. Shaheen et al. · International Journal of Com... · 0 citations

Open access Aug 2026

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...

Mohammed H. Alqahtani, Ali S. Aljumah, Abdullah M. Shaheen et al. · Scientific Reports · 0 citations