  Background. This paper study statistical data gathered from wind turbines
located on the territory of the Republic of Poland. The research is aimed to
construct the stochastic model that predicts the change of wind speed with
time. Purpose. The purpose of this work is to find the optimal distribution for
the approximation of available statistical data on wind speed. Methods. We
consider four distributions of a random variable: Log-Normal, Weibull, Gamma
and Beta. In order to evaluate the parameters of distributions we use method of
maximum likelihood. To assess the the results of approximation we use a
quantile-quantile plot. Results. All the considered distributions properly
approximate the available data. The Weibull distribution shows the best results
for the extreme values of the wind speed. Conclusions. The results of the
analysis are consistent with the common practice of using the Weibull
distribution for wind speed modeling. In the future we plan to compare the
results obtained with a much larger data set as well as to build a stochastic
model of the evolution of the wind speed depending on time.
