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dc.contributor.authorKolsan Ö.
dc.contributor.authorOzgonenel O.
dc.contributor.authorÖzdemir M.
dc.contributor.authorKaraca S.
dc.date.accessioned2020-06-21T09:29:01Z
dc.date.available2020-06-21T09:29:01Z
dc.date.issued2012
dc.identifier.isbn9.78147E+12
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204432
dc.identifier.urihttps://hdl.handle.net/20.500.12712/4414
dc.description2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786en_US
dc.description.abstractIn this work, both unscented transform (UT) and frequency analysis techniques are used for calculating potential wind power of OMU - Dedebuzagi hill based on a year wind data. UT technique reduces process time since it uses only a few samples of probability density function of random variables into system. Weibull distribution with three parameters is used for predicting wind power. The wind power values for measurement site are then compared to another proposed method called frequency analysis. © 2012 IEEE.en_US
dc.language.isoturen_US
dc.relation.isversionof10.1109/SIU.2012.6204432en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA new wind power measurement algorithm: A sample calculation for OMU-Dedebuzagi hillen_US
dc.title.alternativeYeni? bi?r rüzgâr gücü ölçüm algori?tmasi: Omu-Dedebuzaği tepesi? i?çi?n örnek bi?r hesaplamaen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.relation.journal2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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