A rule based fuzzy model for the prediction of solar radiation

Abstract

The main goal of this investigation is to use the fuzzy systems of Takagi Sugeno (TS) for modelling the daily solar radiation data. The Takagi-Sugeno models are a non-linear techniques, defined by a set of If- Then rules, each of which establishes a local linear input-output relationship between the variables of the model. The TS fuzzy model is trained using data of daily solar radiation recorded on a horizontal surface in Dakhla in Morocco. The predicting results indicate that the Takagi-Sugeno fuzzy model gives a good accuracy of approximately 96 % and a root mean square error lower than 6 %. In addition, the performances of the identified TS fuzzy model are then compared to a linear model using the SOS techniques. The results show the effectiveness of the non linear model.