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Artificial Neural Network based Prediction of Solar Radiation for Indian Stations

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 9
Year of Publication: 2012
Amit Kumar Yadav
S. S. Chandel

Amit Kumar Yadav and S S Chandel. Article: Artificial Neural Network based Prediction of Solar Radiation for Indian Stations. International Journal of Computer Applications 50(9):1-4, July 2012. Full text available. BibTeX

	author = {Amit Kumar Yadav and S. S. Chandel},
	title = {Article: Artificial Neural Network based Prediction of Solar Radiation for Indian Stations},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {9},
	pages = {1-4},
	month = {July},
	note = {Full text available}


The Artificial Neural Network (ANN) fitting tool is used for the prediction of solar radiation. Solar radiation data from 12 Indian stations with different climatic conditions are used for training and testing the ANN. The Levenberg-Marquard (LM) algorithm is used in this analysis. The results of ANN model are compared with measured data on the basis of root mean square error (RMSE) and mean bias error (MBE). It is found that RMSE in the ANN model varies 0. 0486–3. 562 for Indian region.


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