Methodology for predicting the PV module temperature based on actual and estimated weather data

In this work, five different models reported in the literature for estimating the PV module temperature were compared and evaluated. Seven cases have been proposed; the latter differ with respect to the nature of input parameter data of solar radiation and ambient temperature (i.e., measured or estimated). The cases were classified into three categories, where the first category contained data on the measured solar radiation and estimated ambient temperatures (three different models). The second uses the estimated solar radiation and ambient temperature data. Finally, category three only uses measured data of both parameters. In summary, all models performed well year-round, with a mean square error (RMSE) between 0.45 and 5.7 °C, and the best results were observed in the hot months (April to October).