Application of Four Probability Distributions for Wind Speed Modeling

• DOI: 10.1016/j.proeng.2017.06.123
• Publication Date: 2017-06-22T18:24:14Z
• Authors: Ivana Pobočíková; Zuzana Sedliačková; Mária Michalková
• Keywords: Akaike information criterion; Bayesian information criterion; Shape parameter; Exponentiated Weibull distribution; Log-normal distribution; Weibull modulus; Scale parameter; K-distribution

When modeling the wind speed in some location probability distributions are proving to be a useful tool. In this study we consider four different distributions: 2-parameter Weibull, 3-parameter Gamma and Lognormal. All of them applied on data recorded at airport Dolný Hričov. Parameters density estimated by maximum likelihood method. order select best fitting distribution there used χ2−test, Kolmogorov-Smirnov test, Akaike information criterion, Bayesian coefficient determination root mean square error. Based results Weibull performs as second best.