ESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACH

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dc.authoridGUNESER, Muhammet Tahir/0000-0003-3502-2034
dc.contributor.authorKose, Bayram
dc.contributor.authorDuz, Murat
dc.contributor.authorGuneser, M. Tahir
dc.contributor.authorRecebli, Ziyaddin
dc.date.accessioned2024-09-29T16:11:30Z
dc.date.available2024-09-29T16:11:30Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.description.abstractEstimating wind energy potential and wind speed frequency are important for planning wind energy conversion plants. Probability distribution functions are utilized to model wind speed distributions. In this study, an estimation was model designed by using the least squares method to predict the wind speed density with the Burr distribution, which has not been studied before. To confirm this model, the annual data of eight different weather stations were analysed, and the results were compared with the Weibull distribution model, which is the most popular one in the literature. For predicting the parameters of both models least square method and maximum likely methods were used. Regarding the comparison results, the performance of designed estimation model (Burr LSM) is higher than the Weibull distribution models, especially for the locations with higher average wind speeds. The results show that the Burr LSM is better than the others for seven of eight weather stations in terms of the power density.en_US
dc.identifier.endpage404en_US
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue2en_US
dc.identifier.startpage389en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8488
dc.identifier.volume36en_US
dc.identifier.wosWOS:000437057300007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherYildiz Technical Univen_US
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBurr probability distribution functionen_US
dc.subjectforecastingen_US
dc.subjectmodellingen_US
dc.subjectprobability distribution functionsen_US
dc.subjectwind energy potentialen_US
dc.subjectwind speed distributionen_US
dc.titleESTIMATING WIND ENERGY POTENTIAL WITH PREDICTING BURR LSM PARAMETERS: A DIFFERENT APPROACHen_US
dc.typeArticleen_US

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