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. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7268 LNAI, pp. 531–538). Springer Verlag. https://doi.org/10.1007/978-3-642-29350-4_63
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