The data consists of environmental factors that affect the power output of solar photovoltaic (PV) systems. These factors include variables such as temperature, pressure, wind speed, humidity and other factors. The dataset comprises 2920 data points containing 10 features. To evaluate the performance of predictive models, the data has been split into a training set and a test set with 30% of the data reserved for testing.