This paper presents a new approach for the determination of the wind speed distribution based on wind speed data. This approach is based on the fact that, in general, wind speed distributions restricted to seasons of year or months are different. Therefore, instead of one Weibull density function, a convex combination of Weibull density functions is considered for a calendar year. This model improves the maximum likelihood of the estimated wind speed distribution. Numerical results including a Kolmogorov–Smirnov test are given for a site at Jamaica. Numerical comparisons are carried out for different sites and various known methods for the estimation of the wind speed distribution.

中文翻译：

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利用凸组合威布尔密度优化风速分布

本文提出了一种基于风速数据确定风速分布的新方法。这种方法基于以下事实：通常，限制在一年或几个月的季节中的风速分布是不同的。因此，考虑一个日历年，而不是一个威布尔密度函数，而是考虑一个威布尔密度函数的凸组合。该模型提高了估计风速分布的最大可能性。牙买加的一个站点给出了包括Kolmogorov–Smirnov检验在内的数值结果。对不同的地点和各种已知的方法进行数值比较，以估计风速分布。