Title of article :
Estimation of Global Solar Irradiance Using a Novel Combination of Ant Colony Optimization and Empirical Models
Author/Authors :
Lashkar Ara, Afshin Department of Electrical Engineering - Dezful Branch - Islamic Azad University, Dezful , Hosseini, Rahil Department of Computer Engineering - Shahr‐e‐Qods Branch - Islamic Azad University, Tehran , Bagheri Tolabi, Hajar Department of Electrical Engineering - Khorramabad Branch - Islamic Azad University, Khorramabad
Abstract :
In this paper, a novel approach for estimation of global solar irradiance is proposed based on a
combination of empirical correlation and ant colony optimization. Empirical correlation has been used
to estimate monthly average of daily global solar irradiance on a horizontal surface. The Ant Colony
Optimization (ACO) algorithm has been applied as a swarm-intelligence technique to tune the
coefficients of linear and nonlinear empirical models. The performance of the models is investigated
for estimation of global solar irradiance at different climatic regions of Iran based on statistical
indicators like coefficient of determination (R2) and root mean square error (RMSE). The results
obtained from the proposed model are superior in comparison with the other well established models.
Keywords :
Ant Colony Optimization (ACO) , Empirical Models , Global Solar Irradiance , Intelligent Models
Journal title :
Astroparticle Physics
