Probability distributions of wind speed historical data series in mossoró, northeastern Brazil

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International Journal of Development Research

Volume: 
7
Article ID: 
11165
6 pages
Research Article

Probability distributions of wind speed historical data series in mossoró, northeastern Brazil

Janilson Pinheiro de Assis, Roberto Pequeno de Sousa, Patrício Borges Maracaja, Paulo Cezar Ferreira Linhares , Aline Carla de Medeiros, Amanda Rezende Moreira, Debora Janyne Barbosa Martins and Thales Hieron Soares de Almeida

Abstract: 

We studied seven probability distributions (Normal, Log-Normal, Beta, Gamma, Log-Pearson Type III, Gumbel, and Weibull) to verify their adjustment to historical data series of average monthly wind speed in the municipality of Mossoró, northeastern Brazil. To verify the goodness of fit of data to these models, we applied the Maximum Likelihood Logarithm and the Kolmogorov-Smirnov, Kuiper, Cramer-von Mises, Anderson-Darling, and Chi-squared tests at a significance level of 10%, totaling 504 tests. The Gumbel probability distribution provided the best fit for the data of monthly wind speed. All the criteria used to verify the goodness of fit were concordant, except the Maximum Likelihood Logarithm for some adjusted periods and models.

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