Prediction of daily global solar radiation using fuzzy systems

The main concern of this paper is to present a new method based on the Takagi-Sugeno (TS) fuzzy systems, for modelling daily global solar radiation recorded in Marrakesh, Morocco. TheTS models are a non-linear techniques, defined by a set of If-Then rules with a linear consequent parts, each of which establishes a local linear input-output relationship between the variables of the model. The structure and the parameters of the developed model are identified using the fuzzy clustering combined to the least square algorithm. The identified fuzzy model is applied to the prediction of daily global radiation and a satisfactory result is obtained. Compared to the two models based on higher order statistics and using two different procedures, the fuzzy model provides the better results in the prediction of the daily solar radiation in terms of statistical indicators.