“…The focus shifts to enhancing the efficiency of snow-covered solar panel detection for optimal photovoltaic system restoration. The study by Al-Dulaimi et al [5] employs five deep learning models, including VGG-16, VGG-19, RESNET-18, RESNET-50, and RESNET-101, to classify solar panel images under various conditions. Two classification cases, one on the original dataset and another simulating extreme climate conditions, are conducted to analyze the performance.…”