Prediction global solar radiation and modeling photovoltaic module based on artificial neural networks

At the beginning of this study a comprehensive literature review on application of artificial neural networks in the various domains of engineering was conducted. Followed by the presentation of artificial neural networks tested for the simulation study and mathematical models for determining global solar radiation. Artificial neural networks are used for the performance estimation the global solar radiation and modeling curves (I-V) of PV module. The structures tested are MLP and RBF. The obtained coefficients of correlation R were very satisfactory, what shows the efficiency of the ANNs to predict the behavior of the photovoltaic systems.