1 PREDICTION OF SOLAR IRRADIANCE FROM WEATHER DATA USING MACHINE LEARNING

Abstract

A main aim of this study is to predict solar irradiance as solar power generation metrics. In order to do that, multiple machine learning algorithms are applied to data collected from a network of solar and wind resource monitoring stations and weather data in Saudi Arabia