Prediction of Photovoltaic Energy Production Using Machine Learning Methods in the RapidMiner Application

Abstract

As the penetration of using clean energy in government plans and companies is rising, many researchers are seeking the influence of multiple factors on the processes leading to producing renewable energy. Electricity via photovoltaic (PV) cells, quickly became popular in all countries due to fewer restrictions compared to other energies. In this study, we compared different machine learning methods based on the classification and prediction of solar energy output. by analyzing a specific case study in Slovakia, Finally, this model was implementedin the RapidMiner platform and the effective factors in predicting by comparing evaluation were identified.