Statistical Analysis of Wind Speed Data with Different Distributions: Bitlis, Türkiye

Accurately modeling wind speed is important in estimating the wind energy potential of a specified region. Two- parameter Weibull distribution is the most widely used and accepted distribution in the energy literature. However, it does not model the all wind speed data encountered in nature. Therefore, in this study, different distributions are used for modeling wind energy, such as Gamma, lognormal, Generalized Rayleigh. The estimators of the unknown parameters of these distributions are found by using maximum likelihood estimators.

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Journal
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi
Published
2024-12-28
DOI
https://doi.org/10.46810/tdfd.1440444
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00

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article

Statistical Analysis of Wind Speed Data with Different Distributions: Bitlis, Türkiye

Asuman Yılmaz, Mahmut Kara
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi
Probabilistic and Robust Engineering Design
article

Statistical Analysis of Wind Speed Data with Different Distributions: Bitlis, Türkiye

Asuman Yılmaz, Mahmut Kara
article en

Abstract

Accurately modeling wind speed is important in estimating the wind energy potential of a specified region. Two- parameter Weibull distribution is the most widely used and accepted distribution in the energy literature. However, it does not model the all wind speed data encountered in nature. Therefore, in this study, different distributions are used for modeling wind energy, such as Gamma, lognormal, Generalized Rayleigh. The estimators of the unknown parameters of these distributions are found by using maximum likelihood estimators.

Türk doğa ve fen dergisi :/Türk doğa ve fen dergisiVol. 13(4)
Van Yüzüncü Yıl Üniversitesi (TR)
Yüzüncü Yil Üniversitesi
Affordable and clean energy
Openalex Percentile: Top 75%
Probabilistic and Robust Engineering Design
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