• DocumentCode
    602201
  • Title

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

  • Author

    Akinci, T.C. ; Guseinoviene, E. ; Seker, Sadi ; Nayir, Ahmet

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Kirklareli Univ., Kirklareli, Turkey
  • fYear
    2013
  • fDate
    27-30 March 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    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.
  • Keywords
    Weibull distribution; correlation methods; hyperbolic equations; parameter estimation; statistical analysis; velocity measurement; wind power; Hurst parameter estimation; Kirklareli area; Turkey; Weibull distribution; fractal dimension; hyperbolic autocorrelation function; long range dependency; nonGaussian distribution; self-similarity; statistical analysis; statistical parameters; wind speed data; Educational institutions; Standards; Wind energy; hurst parameter; statistical analysis; statistical parameters; weibull distribution; wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on
  • Conference_Location
    Monte Carlo
  • Print_ISBN
    978-1-4673-5269-7
  • Type

    conf

  • DOI
    10.1109/EVER.2013.6521592
  • Filename
    6521592