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: | , , , |
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| Format: | Article |
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TextRoad Publication
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/40935/ |
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| Summary: | 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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