Solar Irradiation Estimation from Sunshine Duration by Geno-Fuzzy Partial Approach

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Terrestrial solar irradiation estimations are obtained mostly from the sunshine duration measurements through almost linear models such as the classical Angstrom formulation. The parameters of such model are estimated through the least squares technique in practical studies. In this article, more efficient model based on the fuzzy system concept is proposed for the architecture of solar irradiation estimation from the sunshine duration measurements. Especially, partial fuzzy modeling accounts for the possible local nonlinearities in the form of piece-wise linearizations. The parameters estimation of such a fuzzy model is achieved through the application of genetic algorithm technique. The fuzzy part of the model provides treatment of vague information about the sunshine duration data whereas the genetic part furnishes an objective and optimum estimation procedure. The application of geno-fuzzy model as proposed in this article is presented for three stations in Turkey and the results are constrasted by the previous classical approaches.