The moment Prediction Global solar radiation in rafsanjan city with neural network

Global Solar radiation received by Earth''s surface is one of the most applicable parameters in the estimation and modeling of solar energy projects، hydrology، agriculture، meteorology and climatological is important. Since very expensive instrument for measuring the radiation، had been suggested many different experimental equations by researchers around the world to estimate this parameter. In this research، a neural network model to predict radiation moment in Rafsanjan city is designed. Comparing the values obtained from the model is designed With the values measured by Pyranometer for a year، Was determined that the statistical indexes RMSE، MBE and t respectively for the neural network 36. 5366، 0. 0037and 0. 0232 that The model shows have good performance of the neural network is designed.