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

Tahir Cetin Akinci, Serhat Seker, Eleonora Guseinoviene, Ahmet Nayir

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2013 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies, EVER 2013
DOI'lar
Yayın durumuYayınlandı - 2013
Etkinlik2013 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies, EVER 2013 - Monte Carlo, Monaco
Süre: 27 Mar 201330 Mar 2013

Yayın serisi

Adı2013 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies, EVER 2013

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???event.eventtypes.event.conference???2013 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies, EVER 2013
Ülke/BölgeMonaco
ŞehirMonte Carlo
Periyot27/03/1330/03/13

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