A fuzzy neural network approach to estimate PMSG based and DFIG based wind turbines' power generation

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dc.contributor.authorDemirdelen, Tu?çe
dc.contributor.authorBakmaz, Emel
dc.contributor.authorTumay, Mehmet
dc.date.accessioned2025-01-06T17:29:55Z
dc.date.available2025-01-06T17:29:55Z
dc.date.issued2017
dc.description7th International Conference on Innovative Computing Technology, INTECH 2017 -- 16 August 2017 through 18 August 2017 -- Luton -- 132346
dc.description.abstractNeural networks and fuzzy systems are amalgamate their advantages and to eliminate its individual disadvantages. Neural networks have its computational characteristics of learning in the fuzzy systems and receive from them the interpretation and clarity of systems representation. Thus, the disadvantages of the fuzzy systems are fulfilled by the capacities of the neural networks. These techniques are complementary, which prove its use together. This is called fuzzy neural networks In this paper, a fuzzy neural network is applied to estimate PMSG based and DFIG based wind turbines' power generation. The obtained results showed that this model can be used to predict wind turbine power generation and performance analysis both two type turbines in a simple, reliable and accurate way. © 2017 IEEE.
dc.identifier.doi10.1109/INTECH.2017.8102437
dc.identifier.endpage106
dc.identifier.isbn978-150903988-3
dc.identifier.scopus2-s2.0-85040778063
dc.identifier.startpage101
dc.identifier.urihttps://doi.org/10.1109/INTECH.2017.8102437
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1390
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof7th International Conference on Innovative Computing Technology, INTECH 2017
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectDFIG
dc.subjectFuzzy Neural Network
dc.subjectPMSG
dc.subjectWind Power
dc.titleA fuzzy neural network approach to estimate PMSG based and DFIG based wind turbines' power generation
dc.typeConference Object

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