Modeling of the Solar Radiation and the Photovoltaic Generation using Evolutionary Computation Techni

Abstract

The optimization of photovoltaic systems requires the use of real data of the different variables which are involved as well as the determination of their correlations. In the area of photovoltaic solar energy is interesting to predict the generation of energy in terms of solar radiation and climatic parameters.
For this purpose it is necessary a precise measurement of the latter.
In this paper we propose a method based on artificial intelligence techniques which makes it possible to obtain the generated energy under different climatic conditions for several months. In addition we propose a model that relates the short circuit current with radiation considering the true nonlinear behavior of the relationships between variables.
The results of the proposed method show its validity and usefulness in predicting the generated energy by photovoltaic panels and a progress in finding alternative methods of measuring global radiation at lower cost and error