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Artificial Neural Network based Prediction of Solar Radiation for Indian Stations

by Amit Kumar Yadav, S. S. Chandel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 9
Year of Publication: 2012
Authors: Amit Kumar Yadav, S. S. Chandel
10.5120/7796-0907

Amit Kumar Yadav, S. S. Chandel . Artificial Neural Network based Prediction of Solar Radiation for Indian Stations. International Journal of Computer Applications. 50, 9 ( July 2012), 1-4. DOI=10.5120/7796-0907

@article{ 10.5120/7796-0907,
author = { Amit Kumar Yadav, S. S. Chandel },
title = { Artificial Neural Network based Prediction of Solar Radiation for Indian Stations },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 9 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number9/7796-0907/ },
doi = { 10.5120/7796-0907 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:49.066982+05:30
%A Amit Kumar Yadav
%A S. S. Chandel
%T Artificial Neural Network based Prediction of Solar Radiation for Indian Stations
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 9
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

Solar radiation Levenberg-Marquard (LM) algorithm Artificial neural network

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