crossrefSustainability2024-01-24Cited by 106
Fault Detection and Diagnosis of a Photovoltaic System Based on Deep Learning Using the Combination of a Convolutional Neural Network (CNN) and Bidirectional Gated Recurrent Unit (Bi-GRU)
Ahmed Faris Amiri, Sofiane Kichou, Houcine Oudira, Aissa Chouder, Santiago Silvestre
The meticulous monitoring and diagnosis of faults in photovoltaic (PV) systems enhances their reliability and facilitates a smooth transition to sustainable energy. This paper introduces a novel application of deep learning for fault detection and diagnosis in PV systems, employi…