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Circular Statistics: An Analysis of Wind Direction Data

机译:循环统计:风向数据分析

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An interest on renewable energy had encouraged some researchers to do research on wind energy. The focus of this paper was on the fitting of wind direction data which was one of the most important aspects in renewable energy. The main objective was to find the best distribution that can displayed the wind direction data. Three circular distributions were considered and they were Von Mises, Wrapped Cauchy and generalized Von Mises distributions. Data on the average daily wind direction were collected from Solar Energy Research Institute (SERI) in Universiti Kebangsaan Malaysia. It was fitted and compared to describe the best distribution. The suitability of the distribution was judged from the value of the mean circular error. Result showed that the Von Mises distribution fit the data very well compared to the generalized Von Mises and Wrapped Cauchy distribution. Thus, the Von Mises distribution can be used to model the wind direction in this particular station.
机译:对可再生能源的兴趣鼓励了一些研究人员对风能进行研究。本文的重点是风向数据的拟合,是可再生能源中最重要的方面之一。主要目标是找到可以显示风向数据的最佳分配。考虑了三个循环分布,它们是vonmes,包裹的cauchy和广义von mises分配。从凯班省马来西亚大学的太阳能研究所(Seri)收集了平均日常风向的数据。它被装配并与描述最佳分配相比。从平均圆形误差的值判断分布的适用性。结果表明,与广义的von米物和包裹的Cauchy分布相比,Von Mises分布非常适合数据。因此,Von MIS分布可用于在该特定站中模拟风向。

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