Comparative analysis between wind and solar forecasting methods using artificial neural networks

This paper presents the architecture and the prediction model component of the research project "Intelligent system for prediction, analysis and monitoring of performance indicators of technological and business processes in the field of renewable energies" (SIPAMER) funded by NASR. The prediction model takes into account the solar and wind power plants' data and predicts with a high accuracy the energy produced using neural networks.