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dc.contributor.authorArık, I.
dc.contributor.authorMert Kantar, Yeliz
dc.contributor.authorUsta, İlhan
dc.contributor.authorYenilmez, İsmail
dc.date.accessioned2019-10-20T09:31:45Z
dc.date.available2019-10-20T09:31:45Z
dc.date.issued2015
dc.identifier.isbn9781450334181
dc.identifier.urihttps://dx.doi.org/10.1145/2832987.2833041
dc.identifier.urihttps://hdl.handle.net/11421/17777
dc.descriptionInternational Association of Researchers (IARES);International Journal of Information Technology and Web Engineering;The Istanbul Kemerburgaz Universityen_US
dc.description2015 International Conference on Engineering and MIS, ICEMIS 2015 -- 24 September 2015 through 26 September 2015 -- -- 119163en_US
dc.description.abstractTwo-parameter Weibull distribution has been widely-used reference distribution in wind energy studies and thus its parameter estimation methods have been well-studied in the literature. However, the literature have generally focused on nonrobust methods which produce unreliable results in the cases of wind speed data with outliers. In this study, we deal with robust estimation methods of the Weibull distribution for wind energy applications. The considered robust methods are evaluated for both clear and contaminated real wind data cases. It was found that the considered robust methods provides reliable results when it is taken into account in the case of real wind speed data cases. Also, the certain robust methods for the Weibull distribution yield less mean power density error than classical methods in the case of wind speed data with outliers. As a result, it is deduced from analysis that robust methods can be simultaneously used with efficient estimators to check the estimated reliability of the results on wind poweren_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionof10.1145/2832987.2833041en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOutlieren_US
dc.subjectRobust Estimationen_US
dc.subjectWeibull Distributionen_US
dc.subjectWind Poweren_US
dc.subjectWind Speeden_US
dc.titleEvaluation of robust estimation methods in estimating weibull parameters for wind energy applicationen_US
dc.typeconferenceObjecten_US
dc.relation.journalACM International Conference Proceeding Seriesen_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.volume24-26-September-2015en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorMert Kantar, Yeliz


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