Statistical Comparison Between Empirical Models And Artificial Neural Network Method For Global Solar Radiation At Qena, Egypt
نویسنده
چکیده
Seven empirical models and the artificial neural network model (ANN) are applied and validated to estimate the daily and monthly global solar radiation on a horizontal surface in Qena, Upper Egypt. Statistical comparison has been done between all these models. The results demonstrated that ANN model with MBE, RMSE, MPE, R, NSE and t values of -0.0692, 0.5338, 0.2647, 0.9946, 0.9890 and 2.4934 respectively, are superior to the other models. This model can be applied as a reliable and accurate global solar radiation estimator for Qena and regions with similar climatic conditions. Keywords—Global solar radiation; regression models; statistical analysis; artificial neural networ; empirical models
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