Solar radiation modelling for the estimation of the solar energy generation

Abstract

To know in advance the value of solar radiation is an advantage in order to obtain solar energy. This paper proposes the design and implementation of solar radiation modelling for the estimation of the solar energy generation, based on different series of data collected from meteorological stations in Gran Canaria and Tenerife (Canary Islands, Spain), helping to generate green energy from sun by the estimation of solar radiation. Artificial Neural Network multilayer perceptron, were the classification method used to obtain the forecast. The study of solar radiation prediction achieves a mean average error of 0.04 kilowatts hour per square meter.