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Statistical analysis and Hurst parameter estimation for wind speed in Kirklareli area of Turkey

机译:土耳其Kirklareli地区风速的统计分析和赫斯特参数估计

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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Kirklareli地区的风速数据,并为此数据计算了Hurst参数。为此,首先计算风速数据的统计参数。并且,作为该分析的结果,将其确定为非高斯分布。之后,将其显示为威布尔分布,并计算其统计参数。 Hurst参数是一个特殊的指示器,用于表示远程依赖关系和自相似性。根据该分析的结果,可以将其确定为0.256,并用作长程依赖关系及其分形维数的指标。这样,这是该领域以及统计分析的原始研究。作为最重要的结果之一,这项研究的发现表明风速数据具有双曲线自相关函数。

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