New technique for global solar radiation prediction using imperialist competitive algorithm

In this paper, imperialist competitive algorithm as a computational method is implemented in MATLAB software to estimate monthly average daily global solar radiation on horizontal surface for some different climate cities of Iran. The experimental coefficients for Angstrom model have been calculated...

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Main Authors: Tolabi, Hajar Bagheri, Moradi, Mohammad, Md. Ayob, Shahrin, Zandebasiri, M. R.
Format: Article
Published: TextRoad Publication 2013
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Online Access:http://eprints.utm.my/id/eprint/40935/
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spelling my.utm.409352017-08-22T04:57:32Z http://eprints.utm.my/id/eprint/40935/ New technique for global solar radiation prediction using imperialist competitive algorithm Tolabi, Hajar Bagheri Moradi, Mohammad Md. Ayob, Shahrin Zandebasiri, M. R. TK Electrical engineering. Electronics Nuclear engineering In this paper, imperialist competitive algorithm as a computational method is implemented in MATLAB software to estimate monthly average daily global solar radiation on horizontal surface for some different climate cities of Iran. The experimental coefficients for Angstrom model have been calculated using imperialist competitive algorithm for all different climate cities and output data compared with the coefficients obtained by statistical regression techniques Results indicated that imperialist competitive algorithm is a suitable method to find the best experimental coefficients based on Angstrom model and its predicted coefficients have more accuracy than coefficients estimated by statistical regression techniques. TextRoad Publication 2013 Article PeerReviewed Tolabi, Hajar Bagheri and Moradi, Mohammad and Md. Ayob, Shahrin and Zandebasiri, M. R. (2013) New technique for global solar radiation prediction using imperialist competitive algorithm. Journal of Basic and Applied Scientific Research, 3 (3). pp. 958-964. ISSN 2090-4304
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tolabi, Hajar Bagheri
Moradi, Mohammad
Md. Ayob, Shahrin
Zandebasiri, M. R.
New technique for global solar radiation prediction using imperialist competitive algorithm
description In this paper, imperialist competitive algorithm as a computational method is implemented in MATLAB software to estimate monthly average daily global solar radiation on horizontal surface for some different climate cities of Iran. The experimental coefficients for Angstrom model have been calculated using imperialist competitive algorithm for all different climate cities and output data compared with the coefficients obtained by statistical regression techniques Results indicated that imperialist competitive algorithm is a suitable method to find the best experimental coefficients based on Angstrom model and its predicted coefficients have more accuracy than coefficients estimated by statistical regression techniques.
format Article
author Tolabi, Hajar Bagheri
Moradi, Mohammad
Md. Ayob, Shahrin
Zandebasiri, M. R.
author_facet Tolabi, Hajar Bagheri
Moradi, Mohammad
Md. Ayob, Shahrin
Zandebasiri, M. R.
author_sort Tolabi, Hajar Bagheri
title New technique for global solar radiation prediction using imperialist competitive algorithm
title_short New technique for global solar radiation prediction using imperialist competitive algorithm
title_full New technique for global solar radiation prediction using imperialist competitive algorithm
title_fullStr New technique for global solar radiation prediction using imperialist competitive algorithm
title_full_unstemmed New technique for global solar radiation prediction using imperialist competitive algorithm
title_sort new technique for global solar radiation prediction using imperialist competitive algorithm
publisher TextRoad Publication
publishDate 2013
url http://eprints.utm.my/id/eprint/40935/
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score 13.154949