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prediction of Solar Radiation Using Artificial Intelligence technique for Najaf City | ||
| journal of al-qadisiyah for pure science(quarterly) | ||
| Article 1, Volume 12, Issue 3, 2012, Pages 45-52 PDF (0 K) | ||
| Author | ||
| Fadhil A. Murad | ||
| Abstract | ||
| In present paper, the artificial Intelligence (AI) have been investigated in order to estimation of monthly mean solar radiation in Najaf city. The suggested model were trained and tested using four years data (1995 - 1998) of monthly mean solar radiation, sun shine duration, Extraterritorial radiation and monthly mean ambient temperature for present month as an input and the output will be the estimate solar radiation , then tasted with monthly data of the trained years. The architecture of AI which represented by the artificial neural network (ANN) model was the model was the multi layer precipitation architecture and has three layers. An ANN was constructed, trained, and tested for a different numbers of neurons in its hidden layer. The best result was obtained with 4 neurons, where Determination Coefficient (R2), Root Mean square Error (RMSE) ,Mean Percentage Error (MPE) were found to be 0.98 , 1.1 MJ/m2 , 2 % for testing values. The results show that the Artificial Intelligence is powerful an alternate technique in Monthly mean solar radiation estimation. | ||
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