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Modeling wind speed with a long-term horizon and high-time interval with a hybrid fourier-neural network model

dc.contributor.authorRueda-Bayona, Juan Gabrielspa
dc.contributor.authorCabello Eras, Juan Joséspa
dc.contributor.authorSagastume, Alexisspa
dc.date.accessioned2021-08-23T13:31:27Z
dc.date.available2021-08-23T13:31:27Z
dc.date.issued2021-05-18
dc.identifier.issn2369-0739spa
dc.identifier.issn2369-0747spa
dc.identifier.urihttps://hdl.handle.net/11323/8574spa
dc.description.abstractThe limited availability of local climatological stations and the limitations to predict the wind speed (WS) accurately are significant barriers to the expansion of wind energy (WE) projects worldwide. A methodology to forecast accurately the WS at the local scale can be used to overcome these barriers. This study proposes a methodology to forecast the WS with high-resolution and long-term horizons, which combines a Fourier model and a nonlinear autoregressive network (NAR). Given the nonlinearities of the WS variations, a NAR model is used to forecast the WS based on the variability identified with the Fourier analysis. The NAR modelled successfully 1.7 years of windspeed with 3 hours of the time interval, what may be considered the longest forecasting horizon with high resolution at the moment.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.sourceMathematical Modelling of Engineering Problemsspa
dc.subjectFourier analysisspa
dc.subjectNonlinear autoregressive networkspa
dc.subjectWind potentialspa
dc.subjectReanalysisspa
dc.subjectWind-speedspa
dc.titleModeling wind speed with a long-term horizon and high-time interval with a hybrid fourier-neural network modelspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://www.iieta.org/journals/mmep/paper/10.18280/mmep.080313spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.18280/mmep.080313spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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