Important considerations while evaluating wind energy potential

Rayleigh, Gamma, and Weibull distributions are the most widely-used distributions for modeling wind speed distribution. However, they may not be outstanding for modeling all wind patterns. Consequently, substitute distribution functions are required to be studied. This study presents a comprehensive analysis of ten different distributions to represent wind speed patterns: Weibull, Extreme Value, Inverse Gaussian, Logistic, Log -Logistic, Half-Normal, Burr Type XII, Generalized Extreme Value, Generalized Pareto, and T Location -Scale. Additionally, two optimization methods, Genetic Algorithms and Particle Swarm Optimization, are utilized to select the optimal parameter values for each distribution. The good-of-fitness, six error measures, and seven statistical descriptors are employed.