Operating temperature is a critical factor affecting the performance of photovoltaic (PV) modules. In this study, we present models designed to predict the operating temperature of PV modules using ambient temperature and solar irradiance data collected from real measurements in a tropical region. Weather conditions were categorised based on irradiance and temperature levels, and the predicted PV module temperatures obtained from our models were compared with corresponding experimentally measured values. The results demonstrate that the PVSyst and Akhsassi models systematically consistently exhibit a lower Root Mean Squared Error (RMSE) compared to other models in the literature across all weather conditions, affirming the reliability of our approach.
