Öz In comparison to fossil fuel that pollutes the lower layer of the atmosphere, wind energy is an alternative clean source of energy. Wind speed is the parameter with primary importance in designing and studying the wind energy conversion systems. In this study, the statistical analysis of the parameters of wind power density and wind speed distribution was investigated using the wind speed data of Diyarbakır province between the years 2014 and 2018 that were hourly measured by the General Directorate of Meteorology. Wind data are used to derive probability distributions, and their distributional parameters are determined. Two probability density functions are suited to the measured probability distributions on a yearly basis. The Weibull and the Rayleigh models are used to analyze the wind energy potential of the location. This modeling process was evaluated according to R2, RMSE and c2 parameters. In conclusion, the values obtained by the Weibull model gave better results than the values obtained by the Rayleigh model in the wind data analysis of Diyarbakır province.
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