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A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images
Photovoltaics (PV) are widely used to harvest solar energy, an important form of renewable energy. Photovoltaic arrays consist of multiple solar panels constructed from solar cells. Solar cells in the field are vulnerable to various defects, and electroluminescence (EL) imaging provides effective and nondestructive diagnostics to detect those defects. We …