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:: Volume 16, Issue 4 (1-2014) ::
IJE 2014, 16(4): 0-0 Back to browse issues page
The moment Prediction Global solar radiation in rafsanjan city with neural network
Abstract:   (6530 Views)
Global Solar radiation received by Earths 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.
Keywords: Global solar radiation, neural network, Rafsanjan city
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Type of Study: Research | Subject: Energy Planning Models
Received: 2014/02/16 | Accepted: 2014/02/16 | Published: 2014/02/16
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The moment Prediction Global solar radiation in rafsanjan city with neural network. IJE. 2014; 16 (4)
URL: http://necjournals.ir/article-1-601-en.html

Volume 16, Issue 4 (1-2014) Back to browse issues page
نشریه انرژی ایران Iranian Journal of Energy
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