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Estimation of Global Solar Irradiance Using A Novel Combination of Ant Colony Optimization and Empirical Models
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نویسنده
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Lashkar Araa Afshin ,Hosseini Rahil ,Bagheri Tolabi Hajar
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منبع
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Journal Of Renewable Energy And Environment - 2016 - دوره : 3 - شماره : 3 - صفحه:59 -66
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چکیده
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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 (r^2) and root mean square error (rmse). the results obtained from the proposed model are superior in comparison with the other well established models.
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کلیدواژه
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Ant Colony Optimization (Aco) ,Empirical Models ,Global Solar Irradiance ,Intelligent Models
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آدرس
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Islamic Azad University, Dezful Branch, Department Of Electrical Engineering, ایران, Islamic Azad University, Shahr‐E‐Qods Branch, Department Of Computer Engineering, ایران, Islamic Azad University, Khorramabad Branch, Department Of Electrical Engineering, ایران
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Authors
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