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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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 |
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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 |
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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. |
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Tolabi, Hajar Bagheri Moradi, Mohammad Md. Ayob, Shahrin Zandebasiri, M. R. |
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Tolabi, Hajar Bagheri Moradi, Mohammad Md. Ayob, Shahrin Zandebasiri, M. R. |
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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 |
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New technique for global solar radiation prediction using imperialist competitive algorithm |
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New technique for global solar radiation prediction using imperialist competitive algorithm |
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new technique for global solar radiation prediction using imperialist competitive algorithm |
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TextRoad Publication |
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2013 |
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http://eprints.utm.my/id/eprint/40935/ |
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