New technique for global solar radiation estimation by Imperialist competitive and Genetic Algorithms

In this paper, imperialist competitive algorithm as a computational method and genetic algorithm are implemented in MATLAB software to estimate monthly average daily global solar radiation on horizontal surface for two different climate cities of Iran. The experimental coefficients for Angstrom model have been calculated using imperialist competitive algorithm for two different climate cities as well as a search method based on genetic algorithm is applied to accelerate problem solving. The 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.