Parameter estimation of the wind speed distribution model by dragonfly algorithm

Basit Öğe Kaydı
dc.contributor.authorKose, Bayram
dc.contributor.authorAygun, Hilmi
dc.contributor.authorPak, Semih
dc.date.accessioned2024-03-09T18:48:57Z
dc.date.available2024-03-09T18:48:57Z
dc.date.issued2023
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description.abstractPurpose: In modelling wind speed by Weibull probability distribution function (Wpdf) for potential calculation of wind energy and wind speed characterization, the purpose of the study is to estimate the distribution parameters.Theory and Methods: 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 Dragonfly Algorithm (DA), 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. Results: Dat obtaine from 6 measurement stations were used in the study. The results show that while the DA method gives the best performance according to the determination coefficient (R2) criterion in all stations, it provides the best performance in 2 stations according to the root mean square error (RMSE) criterion. In addition, it was observed that the DA method showed better performance in all stations compared to the LSM method.Conclusion: It is seen that the proposed DA algorithm for wind energy potential calculation can be used to estimate Weibull and two-component mixed Weibull distribution parameters.en_US
dc.identifier.endpage1756en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1747en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1530
dc.identifier.volume38en_US
dc.identifier.wosWOS:000968663800035en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherGazi Univ, Fac Engineering Architectureen_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/closedAccessen_US
dc.subjectWeibull Distribution Parameters; Dragonfly Algorithm; Wind Energy Potential; Estimationen_US
dc.titleParameter estimation of the wind speed distribution model by dragonfly algorithmen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
1530.pdf
Boyut:
665.29 KB
Biçim:
Adobe Portable Document Format
Ä°ndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu