COMPARATIVE ANALYSIS OF MATHEMATICS, STATISTICS AND PHYSICS BASED ALGORITHMS FOR OBTAINING OPTIMUM WEIBULL PROBABILITY DISTRIBUTION PARAMETERS FOR POWER DENSITY ESTIMATION IN WIND ENERGY: LORAS AND FOCA EXAMPLES

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dc.contributor.authorKose, Bayram
dc.contributor.authorTelkenaroglu, Bekir Can
dc.contributor.authorDemirturk, Bahar
dc.date.accessioned2025-03-20T09:50:27Z
dc.date.available2025-03-20T09:50:27Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractIn this work, the k and c parameters of the Weibull probability distribution function, which is generally used in the feasibility and efficiency studies of wind energy and preferred in electrical energy production, were estimated by Simulated Annealing Algorithm (SA) and Generalized Reduced Gradient Algorithm (GRG). AFunction parameters were also estimated by classical numerical methods, Least Squares Method(LMS), AJustus Empirical Moment Method(EMJ) and Lysen Empirical Moment Method(EML). When comparing the results, the coefficient of determination, the root mean square error (RMSE) and the chi-square distribution criteria(x(2)) Awere used. Wind speed frequency distributions were calculated with the estimated shape and scale parameter and compared with the measurement results. Consequently, better results can be seen from GRG algorithm than the classical numerical methods with coefficient of value of 0.0182 RMSE, determination of 0.8473, and the value x(2) of 0.0079 for Loras and with coefficient of value of 0.0066 RMSE, determination of 0.9793, and the value of 0.0011 for
dc.identifier.doi10.47480/isibted.1494029
dc.identifier.endpage58
dc.identifier.issn1300-3615
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85205306615
dc.identifier.scopusqualityQ4
dc.identifier.startpage47
dc.identifier.trdizinid1240812
dc.identifier.urihttps://doi.org/10.47480/isibted.1494029
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1240812
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2201
dc.identifier.volume44
dc.identifier.wosWOS:001346279300004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherTurkish Soc Thermal Sciences Technology
dc.relation.ispartofIsi Bilimi Ve Teknigi Dergisi-Journal of Thermal Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250319
dc.subjectRenewable Energy Sources
dc.subjectWeibull distribution parameters
dc.subjectSimulated Annealing Algorithm
dc.subjectGeneralized Reduced Gradient Algorithm
dc.subjectClassical Numerical Methods
dc.subjectWind Energy Potential
dc.titleCOMPARATIVE ANALYSIS OF MATHEMATICS, STATISTICS AND PHYSICS BASED ALGORITHMS FOR OBTAINING OPTIMUM WEIBULL PROBABILITY DISTRIBUTION PARAMETERS FOR POWER DENSITY ESTIMATION IN WIND ENERGY: LORAS AND FOCA EXAMPLES
dc.typeArticle

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