This cluster of papers focuses on the application of machine learning methods, particularly artificial neural networks, for forecasting solar radiation and photovoltaic power generation. It covers topics such as solar energy integration, grid-connected PV plant performance prediction, solar position algorithms, and GIS-based site selection for solar farms.