@article{article_1033090, title={Estimation of Weibull distribution parameters for wind energy applications: A case study of Dinar region in Turkey}, journal={Uluslararası Teknolojik Bilimler Dergisi}, volume={14}, pages={1–10}, year={2022}, DOI={10.55974/utbd.1033090}, author={Bingöl, Okan and Bulut, Aydın}, keywords={Wind energy, Weibull distribution, Statistical error analysis}, abstract={In this study, the wind energy characteristics of Dinar region were researched. Required wind data was provided by the Dinar Meteorology Station of the Turkish State Meteorology Service. Wind data was recorded hourly between June 2015 and May 2020. The two variable Weibull probability distribution function was used to research wind characteristics of the region. Six different methods were used to calculate shape (k) and scale (c) variables of the probability distribution function. These are moment, graph, Justus empirical, energy trend, energy pattern and maximum likehood estimation methods. The performance of these methods were compared with four different statistical error analysis methods. These are root mean square error (RMSE), coefficient of determination (R2), chi-square error (X2) and mean absolute error (MAE). According to the results, maximum likehood estimation and energy trend methods have been the most successful methods in the calculation of Weibull parameters. In addition, this study is an important preliminary study in determining the wind energy characteristic of the region.}, number={1}, publisher={Isparta University of Applied Sciences}