New Technique for Global Solar Radiation Forecast using Bees Algorithm

Solar radiation estimation is integral part for various solar energy systems which requires precise and expensive devices to gage the solar radiation for a particular region. However, researches haveproposed different techniques to estimate the solar radiation that hinder using such devices so far.Nonlinear nature and excessive dependence on the meteorological parameters of these methods forced researchers to look for quick and efficient techniques to solve related issues and find solar radiation for a particular region. In this paper, a new method based on the Angstrom model is introduced whichestimates the monthly average daily global solar radiation on a horizontal surface by Bees Algorithm as a heuristic and population-based search technique implemented in MATLAB software. The experimental coefficients for Angstrom model are calculated for six different climate regions of Iranusing proposed program written in the software. The obtained results proved the efficiency andpredominance of the new method to find a more accurate level of solar radiation

Keywords:

Bees Algorithm , Global Solar Radiation , Experimental Coefficients , Statistical Regression Techniques , Intelligent Techniques