ANN-Based Estimation of Monthly Global Solar Radiation in Tehran City
نویسندگان
چکیده
The main objective of Present study is based on meteorological variables to estimate monthly Global Solar Radiation (GSR) on a horizontal surface. Monthly mean of maximum air temperature, relative humidity, sunshine hours and wind speed values between 1974 and 2008 for Tehran city in Iran (35_41N, 51_19E), are used in this study. In order to investigate the effect of each meteorological variable on monthly GSR estimation, different combinations of input variables are considered and Recurrent Neural Network (RNN) and Multi-layer perceptron (MLP) are applied on each model.
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