Mixture gamma distribution for estimation of wind power potential

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dc.contributor.authorErisoglu M.
dc.contributor.authorServi T.
dc.contributor.authorErisoglu U.
dc.contributor.authorCalis N.
dc.date.accessioned2020-03-26T18:48:15Z
dc.date.available2020-03-26T18:48:15Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn scientific literature, Weibull distribution and two component mixture Weibull distribution (WW) have been already applied in estimation of wind power potential. In this paper, two component mixture gamma distribution (GG) is proposed for estimation of wind power potential in heterogeneous wind data sets for the first time. Wind energy density for three weather stations located in western region of Turkey was investigated by using the Weibull, WW and GG probability density function in application section of study. The results obtained with these models were compared with the measured data. The GG distribution proposed for heterogeneous wind data sets was shown to be very successful in estimation of wind power potential according to the compare results. © 2013 by CESER Publications.en_US
dc.identifier.endpage241en_US
dc.identifier.issn0973-1377en_US
dc.identifier.issue10en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage232en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30173
dc.identifier.volume40en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Applied Mathematics and Statisticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEstimationen_US
dc.subjectMixture gamma distributionen_US
dc.subjectMixture weibull distributionen_US
dc.subjectWind energyen_US
dc.titleMixture gamma distribution for estimation of wind power potentialen_US
dc.typeArticleen_US

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