Document Type : Research Article


1 Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran

2 Department of Computer Engineering, Shahr‐e‐Qods Branch, Islamic Azad University, Tehran, Iran

3 Department of Electrical Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran


In this paper, a novel approach for the 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 the estimation of global solar irradiance at four 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.


1.     Tolabi, H.B., Moradi, M.H. and Ayob, S.B.M., "A review on classification and comparison of different models in solar radiation estimation", International Journal of Energy Research, Vol. 38, No. 6, (2014), 689–701.

2.     Edalati, S., Ameri, M. and Iranmanesh, M., "Estimating and modeling monthly mean daily global solar radiation on horizontal surfaces using artificial neural networks", Journal of Renewable Energy and Environment, Vol. 2, No. 1, (2015), 36-42.

3.     Ameri, M. and Yoosefi, M., "Power and Fresh Water Production by Solar Energy, Fuel Cell, and Reverse Osmosis Desalination", Journal of Renewable Energy and Environment, Vol. 3, No. 1, (2016), 25-34.

4.     Daghigh, R. and Shafieian, A., "Thermal Performance of a Double-pass Solar Air Heater", Journal of Renewable Energy and Environment, Vol. 3, No. 2, (2016), 35-46.

5.     Tolabi, H.B., Ali, M.H. and Rizwan, M., "Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach", IEEE Transactions on sustainable Energy, Vol. 6, No. 1, (2015), 210 – 218.

6.     Moradi, I. "Quality control of global solar radiation using sunshine duration hours", Energy, Vol. 34, No. 1, (2009), 1–6.

7.     Azadeh A., Maghsoudi, A. and Sohrabkhani, S., "An integrated artificial neural networks approach for predicting global radiation", Energy Conversion and Management, Vol. 50, No. 6, (2009), 1497–1505.