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Probability models for low wind speeds zones

AUTHOR(S):

P. Osatohanmwen;F. O. Oyegue; B. Ajibade;R. Idemudia

JOURNAL: Journal of the Nigerian Statistical Association Vol. 29, 2017
YEAR: 2017

ABSTRACT

This paper focuses on the comparison of some probability distributions for low wind speeds regimes using some goodness-of-t criteria. Results obtained from the analysis indicated that while the 2-parameter Weibull distribution reported the best t in terms of its highest p-value of the Kolmogorov-Smirnov (K-S) statistic, the Akaike information criterion (AIC) reported the 4-parameter transformed beta distribution as the best model for the wind speed observations. Further, the 1-parameter Maxwell distribution presented the best Q-Q plot of all the fitted distributions. The results from the study also suggest that several other probability distributions can be used as an efficient alternative to the conventional Weibull distribution in fitting wind speeds data from low wind speeds zones.

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Journal of the Nigerian Statistical Association Vol. 29, 2017
2017

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