Avaliação da Irradiação Solar como Fonte de Energia Renovável no Noroeste do Estado do Rio Grande do Sul Através de Uma Rede Neural

Abstract

Solar irradiation is one of the cleanest renewable energy sources of nowadays. In this work, the goal was to implement a neural network capable of evaluating the solar irradiation in the Northwest region of Rio Grande do Sul. In case, this assessment targets meteorological data, from January to April 2015. The network Perceptron was implemented and trained using MATLAB software. The results have indicated that the system obtained a highly accurate and that the region is a good enough place for stemmed energy production of solar irradiation.