期刊
出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2017.06.123
关键词
Wind speed; Weibull distribution; Gamma distribution; Lognormal distribution; goodness of fit test; Akaike information criteria; Bayesian information criteria; coefficient of determination; root mean square error
When modeling the wind speed in some location the probability distributions are proving to be a useful tool. In this study we consider four different probability distributions: the 2-parameter Weibull, the 3-parameter Weibull, the 2-parameter Gamma and the 2-parameter Lognormal. All of them are applied on the wind speed data recorded at the airport in Dolny Hricov. Parameters of the density distributions are estimated by the maximum likelihood method. In order to select the best fitting distribution there are used the test, the Kolmogorov-Smirnov test, the Akaike information criterion, the Bayesian information criterion, the coefficient of determination and the root mean square error. Based on the results the 3-parameter Weibull performs as the best and the 2-parameter Weibull distribution performs as the second best. (C) 2017 The Authors. Published by Elsevier Ltd.
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