An alternative distribution to Weibull for modeling the wind speed data: Inverse Weibull distribution

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dc.contributor.authorAkgül, Fatma Gül
dc.contributor.authorŞenoğlu, Birdal
dc.contributor.authorArslan, Talha
dc.date.accessioned2021-07-08T08:26:48Z
dc.date.available2021-07-08T08:26:48Z
dc.date.issued2016
dc.departmentAÇÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractWeibull distribution is widely used for modeling the wind speed data in literature. However, in real life, the wind speed data may not always be modeled by using the Weibull distribution. In other words, it may not represent all wind speed characteristic encountered in nature. Therefore, the alternative distributions are used in such cases. In this study, the Inverse Weibull (IW) distribution is used to model the wind speed. First, the modified maximum likelihood (MML) estimators of the parameters of IW distribution are obtained. Then the efficiencies of the MML estimators are compared with the well-known maximum likelihood (ML) and the least squares (LS) estimators via Monte-Carlo simulation study. Simulation results show that the LS estimators are the least efficient among the others. Finally, Weibull and IW distributions are used for modeling the seasonal wind speed data sets obtained from the Turkish State Meteorological Service. It is shown that IW distribution based on the ML and the MML estimates of the parameters provides better modeling than the Weibull distribution based on the corresponding estimates in most of the cases. The suitability of these distributions is compared with respect to root mean square error (RMSE) and coefficient of determination (R-2) criteria.
dc.identifier.citationAkgül, F. G., Şenoğlu, B., & Arslan, T. (2016). An alternative distribution to Weibull for modeling the wind speed data: Inverse Weibull distribution. Energy Conversion and Management, 114, 234-240.en_US
dc.identifier.doi10.1016/j.enconman.2016.02.026
dc.identifier.endpage240en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage234en_US
dc.identifier.urihttps://hdl.handle.net/11494/3283
dc.identifier.volume114en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAkgül, Fatma Gül
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEnergy Conversion and Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWind speeden_US
dc.subjectWeibullen_US
dc.subjectInverse Weibullen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectEfficiencyen_US
dc.titleAn alternative distribution to Weibull for modeling the wind speed data: Inverse Weibull distributionen_US
dc.typeArticle

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