Modelling of Wind Turbine Power Output by Using ANNs and ANFIS Techniques

Basit Öğe Kaydı
dc.authoridekinci, firat/0000-0002-4888-7881
dc.authoridDemirdelen, Tugce/0000-0002-1602-7262
dc.authoridBilgili, Mehmet/0000-0002-5339-6120
dc.contributor.authorEkinci, Firat
dc.contributor.authorDemirdelen, Tugce
dc.contributor.authorBilgili, Mehmet
dc.date.accessioned2025-01-06T17:44:35Z
dc.date.available2025-01-06T17:44:35Z
dc.date.issued2017
dc.description7th International Conference on Innovative Computing Technology (INTECH) -- AUG 16-18, 2017 -- Luton, ENGLAND
dc.description.abstractIn this study, artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) were applied to estimate the wind turbine power output of a horizontal axis wind turbine. Hub-height wind speed, atmospheric air temperature and rotational speed values obtained from an operating wind power plant (WPP) were employed as input data in the model. According to the derived results, the mean absolute percentage error (MAPE) and correlation coefficient (R) values for the ANN model were determined as 4.41% and 0.9850, respectively, whereas the corresponding values for the ANFIS model were found as 2.19% and 0.9971, respectively. The obtained results showed that ANN and ANFIS models can be used to predict wind turbine power output in a simple, reliable and accurate way.
dc.identifier.endpage131
dc.identifier.isbn978-1-5090-3989-0
dc.identifier.startpage126
dc.identifier.urihttps://hdl.handle.net/20.500.14669/3102
dc.identifier.wosWOS:000425919500024
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2017 Seventh 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.subjectTerms Artificial Neural Network
dc.subjectAdaptive Neuro Fuzzy Inference System
dc.subjectModelling
dc.subjectWind Power
dc.titleModelling of Wind Turbine Power Output by Using ANNs and ANFIS Techniques
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu