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Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood

dc.contributor.authorCama-Pinto, Doraspa
dc.contributor.authorChavez Muñoz, Pastor Davidspa
dc.contributor.authorSolano-Escorcia, Andres Felipespa
dc.contributor.authorCama-Pinto, Alejandrospa
dc.date.accessioned2020-12-10T19:22:10Z
dc.date.available2020-12-10T19:22:10Z
dc.date.issued2020
dc.identifier.issn2352-3409spa
dc.identifier.urihttps://hdl.handle.net/11323/7568spa
dc.description.abstractThe data to construct the missing wind-speed value in the weather station record at “Collado de Yuste”, between the years 2002 to 2012, was calculated using wind speed data recorded in two other nearby weather stations, those in “Solana del Zapatero” and “Calar Alto”. The three mentioned stations are located in the mountain range of the province of Almeria, Autonomous Community of Andalusia, Spain. After calculating the degree of association using the correlation coefficient and Wavelet Transform Scalogram, the data was successfully constructed. This paper refers to another study: Wind missing data arrangement using wavelet based techniques for getting maximum likelihoodspa
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.sourceData in Briefspa
dc.subjectWind dataspa
dc.subjectWavelet transformspa
dc.subjectFast Fourier transformspa
dc.subjectMissing dataspa
dc.subjectRenewable energyspa
dc.subjectData fillingspa
dc.titleData supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihoodspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://www.sciencedirect.com/science/article/pii/S2352340920307290spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1016/j.dib.2020.105835spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.relation.references[1] Y. Mu, X. Liu, L Wang, A Pearson’s correlation coefficient based decision tree and its parallel implementation, Inf. Sci. 435 (2018) 40–58, doi:10.1016/j.ins.2017.12.059.spa
dc.relation.references[2] H. Li, F. Xu, H. Liu, X. Zhang, Incipient fault information determination for rolling element bearing based on synchronous averaging reassigned wavelet scalogram, Measurement 65 (2015) 1–10 http://doi.org/, doi:10.1016/j.measurement.2014.12.032.spa
dc.relation.references[3] A.J. Zapata-Sierra, A. Cama-Pinto, F.G., M.G. Montoya, A. Alcayde, F. Manzano-Agugliaro, Wind missing data arrangement using wavelet based techniques for getting maximum likelihood, Energy Convers. Manag. 185 (2019) 552–561.spa
dc.relation.references[4] A.-.J. Perea-Moreno, G. Alcalá, Q. Hernandez-Escobedo, Seasonal wind energy characterization in the Gulf of Mexico, Energies 13 (1) (2019) art. no. 93, doi:10.3390/en13010093.spa
dc.relation.references[5] Matlab, www.mathworks.com/products/matlab.html, (accessed April 2020).spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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