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Evaluation of three methods for estimating annual and seasonal wind speed distributions

机译：评估三种估算年度和季节性风速分布的方法

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In this study annual and seasonal wind speed variations of M'sila (a region of northern Algeria) were examined based on data measured at an elevation of 10 m above the ground level during three years (2008-2010). Wind speed model is a critical factor in assessing wind energy potential and also in estimating the performance of wind energy conversion systems. In this paper, Weibull function, hybrid Weibull function and the probability function derived with maximum entropy principle (MEP) were used and compared with the measured data. To test their performance, statistical parameters such as correlation coefficient R, root mean square error (RMSE) and Chi square error (χ) were considered. According to the results of failure analysis the hybrid Weibull probability distribution density function is the better alternative to conventional Weibull and MEP probability density functions, when describing annual and seasonal wind speed distributions in M'sila region.
机译：在这项研究中，基于三年（2008-2010年）在海拔10 m以上的地面上测得的数据，对M'sila（阿尔及利亚北部地区）的年度和季节性风速变化进行了研究。风速模型是评估风能潜力以及评估风能转换系统性能的关键因素。本文使用了威布尔函数，混合威布尔函数和根据最大熵原理（MEP）导出的概率函数，并将其与实测数据进行了比较。为了测试其性能，考虑了统计参数，例如相关系数R，均方根误差（RMSE）和卡方误差（χ）。根据故障分析的结果，当描述M'sila地区的年度和季节风速分布时，混合的Weibull概率分布密度函数可以更好地替代传统的Weibull和MEP概率密度函数。

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