Kose, BayramAygun, HilmiPak, Semih2024-03-092024-03-0920231300-18841304-4915https://hdl.handle.net/20.500.14034/1530Purpose: In modelling wind speed by Weibull probability distribution function (Wpdf) for potential calculation of wind energy and wind speed characterization, the purpose of the study is to estimate the distribution parameters.Theory and Methods: The performance of the proposed method has been evaluated by comparing not only the classical methods which are the moment method (MM) and the least squares method (LSM) but also metaheuristic optimization algorithms which are Dragonfly Algorithm (DA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Determination coefficient (R2) and root mean square error (RMSE) were used to evaluate the performance of these parameter estimation methods. Results: Dat obtaine from 6 measurement stations were used in the study. The results show that while the DA method gives the best performance according to the determination coefficient (R2) criterion in all stations, it provides the best performance in 2 stations according to the root mean square error (RMSE) criterion. In addition, it was observed that the DA method showed better performance in all stations compared to the LSM method.Conclusion: It is seen that the proposed DA algorithm for wind energy potential calculation can be used to estimate Weibull and two-component mixed Weibull distribution parameters.eninfo:eu-repo/semantics/closedAccessWeibull Distribution Parameters; Dragonfly Algorithm; Wind Energy Potential; EstimationArticle38317471756N/AWOS:000968663800035Q2