[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 16, Number 4 (1-2014) ::
Back to browse issues page 3 2014, 16(4): 0-0
The moment Prediction Global solar radiation in rafsanjan city with neural network
Abstract:   (5134 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
Full-Text [PDF 818 kb]   (2778 Downloads)    
Type of Study: Research | Subject: Energy Planning Models
Received: 2014/02/16 | Accepted: 2014/02/16 | Published: 2014/02/16
Add your comments about this article
Your username or email:

Write the security code in the box >



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

The moment Prediction Global solar radiation in rafsanjan city with neural network. 3. 2014; 16 (4)
URL: http://necjournals.ir/article-1-601-en.html
Back to browse issues page Volume 16, Number 4 (1-2014)
نشریه انرژی ایران Iranian Journal of Energy
Persian site map - English site map - Created in 0.045 seconds with 777 queries by yektaweb 3388