The focus of this study was to assess the solar radiation in locations with limited meteorological data. In 2019, monthly average temperature values that were collected from the South African University Radiometric Network (SAURAN), USAid Venda station in Vuwani, Limpopo, were inputted in the temperature-based empirical model, Hargreaves–Samani ( $H-S$) model to calculate global solar radiation. The modelled monthly average solar radiation values were compared to the ground-based and two satellites data sources. The performance of the model showed strong correlation between all the measurements (observed) solar radiation with R² of 0.83, 0.94, and 0.92 for ground-based, NASA, and CAMS satellites derived data, respectively. It can be inferred that the modelled global radiation has a better error range as compared to both ground-based and satellite-derived observations. The strong correlation validated that the estimated radiation through the $H-S$ model as a reliable input for photovoltaic(PV) power output models for a 255 W panel installed at the study site. Therefore, careful site assessment of weather conditions is necessary for a better assessment of potential P V power output and recommendation of the suitable solar panel. The study has proven that the PV power output can be estimated in areas with limited weather data with known solar panel. The outcomes of this study can be useful for proper design of power generation system of any size in any location.