Abstract
The Weierstrass functions family, which graphs are fractal sets, in combination with medium-term trends, is used as the basis of the model of wind. Various aspects of wind variability, neglected in models proposed so far, are taken into considerations. A genetic algorithm is used in order to fit the proper parameters of Weierstrass function. Fractal dimension is utilized as a parameter in a fitness function. The results have shown that the proposed approach yielded very good fit for the observation data.
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Bielecka, M., Barszcz, T., Bielecki, A., Wójcik, M. (2012). Fractal Modelling of Various Wind Characteristics for Application in a Cybernetic Model of a Wind Turbine. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_63
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DOI: https://doi.org/10.1007/978-3-642-29350-4_63
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