Solar radiation prediction based on ICA and HGAPSO for Kuhin City, Iran

Abstract

In this study, sun radiation prediction has been carried out by utilization of ICA and HGAPSO algorithms, based on some climatic parameters such as air temperature, relative humidity and wind speed. Air temperature, relative humidity and wind speed data have been measured by accurate measuring tools in Kuhin city. The application of these data networks to predict solar radiation in a similar situation have been taught to the system. The networks precision is shown by their correlation coefficient (R2) and mean square error (MSE). Due to the different climatic conditions, solar radiation is very difficult to be predicted. Thus, the trained networks have deviations; hence the networks with R2 equal to 0.7 and above were acceptable. At the end, the solar radiation prediction was carried out for some the days of two years.