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Statistical Analysis and Hurst Parameter Estimation for Wind Speed in Kirklareli Area of Turkey

机译:土耳其Kirklarli地区风速统计分析与赫斯特参数估计

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In this study, a wind speed data of the Kirklareli region of Turkey is considered and Hurst parameter is calculated for this data, For this purpose at first statistical parameters of the wind speed data are calculated. And, as a result of this analysis it is determined as a non-gaussian distribution. After that, it is shown as Weibull distribution and its statistical parameters are computed. The Hurst parameter is a special indicator to present the long range dependency and self-similarity. According to the results of this analysis, it can be determined as 0.256 and it is used as an indicator of long range dependency as well as its fractal dimension. In this manner, this is an original study to this field as well as the statistical analysis. As a one of the most important results, the finding of this study shows that the wind speed data has an autocorrelation function hyperbolically.
机译:在这项研究中,考虑了土耳其的Kirklari区域的风速数据,并且针对该数据计算了HURST参数,在此目的在计算风速数据的第一统计参数时。 并且,由于这种分析,它被确定为非高斯分布。 之后,它显示为Weibull分布,并且计算其统计参数。 HURST参数是一个特殊的指示器,以呈现长距离依赖性和自我相似性。 根据该分析的结果,可以确定为0.256,用作长距离依赖性的指示以及其分形尺寸。 以这种方式,这是该领域的原始研究以及统计分析。 作为最重要的结果之一,该研究的发现表明,风速数据具有多曲面函数的功能。

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