Accuracy of eight probability distribution functions for modeling wind speed data in Djibouti.

Abdoulkader Ibrahim Idriss*, Abdoulhamid Awalo Mohamed, Tahir Cetin Akinçi, Ramadan Ali Ahmed, Abdou Idris Omar, Ramazan Caglar, Serhat Seker

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3 Atıf (Scopus)

Özet

In this paper, the regional assessment on the performance of eight different probability distributions functions is investigated and compared for estimating wind speed distributions in Republic of Djibouti; the stations are located in the rural areas which are Ghoubet and Bada Wein, and urban areas which are University of Djibouti and International Airport of Djibouti. To achieve this aim, the statistical test for ranking the selected probability distributions functions, is evaluated based on the coefficient of determination, the root mean square error and the index of agreement. It has been shown from the statistical results that Weibull, Rayleigh and Gamma distributions can generally considered as the appropriate distributions and are generally provide the best fit for all stations; however Nakagami distribution gave the best results for Ghoubet rural station compared to the others used distributions.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)780-790
Sayfa sayısı11
DergiInternational Journal of Renewable Energy Research
Hacim10
Basın numarası2
Yayın durumuYayınlandı - 2020

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Publisher Copyright:
© 2020 Institut za Arhitekturu i Urbanizam Srbije.

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