Rеvuе des Energies Renouvelables
Volume 9, Numéro 2, Pages 113-120
2006-06-30
A Rule Based Fuzzy Model For The Prediction Of Solar Radiation
Authors : Iqdour R. . Zeroual A. .
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.
Keywords
Daily solar radiation, Modelling, Stochastic process, Takagi-Sugeno systems.
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