Parameter estimation of the wind speed distribution model by dragonfly algorithm

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dc.contributor.authorKöse, B.
dc.contributor.authorAygün, H.
dc.contributor.authorPak, S.
dc.date.accessioned2024-09-29T16:16:28Z
dc.date.available2024-09-29T16:16:28Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn order to meet the increasing energy demand and to solve environmental problems, the interest in renewable energy sources continues with technology development studies and economic investments. Various methods are used to determine and estimate sustainable and renewable energy sources. Probability distribution functions are used in wind characterization and potential calculation of wind energy. In this study, the Dragonfly Algorithm (DA) is proposed to estimate the Weibull probability distribution function (Wpdf) parameters used in wind speed modeling and the two-component mixed Weibull distribution parameters used in modeling non-single peak wind speed data. The performance of the proposed method has been evaluated by comparing not only the classical methods which are the moment method (MM) and the least squares method (LSM) but also metaheuristic optimization algorithms which are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Determination coefficient (R2) and root mean square error (RMSE) were used to evaluate the performance of these parameter estimation methods. Data obtained from 6 measurement stations were used in the study. According to the performance criteria, the two-component Weibull distribution was found to be more effective at all stations compared to the Weibull distribution model. It has been concluded that the proposed DA algorithm can be used effectively for parameter estimation in wind speed modeling. © 2023 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.en_US
dc.identifier.doi10.17341/gazimmfd.935689
dc.identifier.endpage1756en_US
dc.identifier.issn1300-1884
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85146833057en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1747en_US
dc.identifier.trdizinid1159593en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.935689
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1159593
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9116
dc.identifier.volume38en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isotren_US
dc.publisherGazi Universitesien_US
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectdragonfly algorithmen_US
dc.subjectestimationen_US
dc.subjectWeibull distribution parametersen_US
dc.subjectwind energy potentialen_US
dc.titleParameter estimation of the wind speed distribution model by dragonfly algorithmen_US
dc.title.alternativeRüzgar hız dağılımı modelinin yusufcuk algoritması ile parametre tahminlemesien_US
dc.typeArticleen_US

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