A novel hybrid model for solar radiation prediction

Due to the increasing requirement for the design, optimization and performance evaluation of the solar energy systems modeling and prediction of solar radiation is of considerable importance. A number of solar radiation prediction models have been developed, ranging from simple empirical models to very complicated computer coded models. This paper presents Generalized Fuzzy Model (GFM) based paradigm for the prediction of solar radiation. The present research uses both the probability theory and fuzzy set theory for the prediction of radiation. For collecting the meteorological parameters a test bed is made at Solar Energy Centre, Gurgaon, India. Both the models are applied on four different sets comprising of various combination of input meteorological parameters (Day of the year, sun shine hour, ambient temperature, relative humidity and atmospheric pressure). The results of prediction are encouraging.