Daily time series estimation of global horizontal solar radiation from artificial neural networks

Abstract

Obtaining a complete and efficient database is necessary for the sizing of photovoltaic systems. Despite the existence of the unit-level radiometric chain, the acquisition of data from different radiation components has problems, and thus gaps in the radiometric database. Thus, good sizing is possible only if the measurements are available continuously in space and time. The purpose of our work is to use the insolation basis for the estimation of the global daily radiation at the URER-MS research unit (Latitude 27.87 Longitude -0.272) using neuronal techniques. The efficiency of using neural networks as a global solar irradiation modeling tool.