A lightweight deep learning model for fault detection of PV modules using thermal images

Thermal imaging is an emerging and valuable tool in evaluating and inspecting photovoltaic modules, allowing the identification of anomalies invisible to the human eye, such as bypass diode failures, internal cell defects, and hot or cold spots. In this context, artificial intelligence and computer...