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dc.creatorMartínez Álvarez, Franciscoes
dc.creatorTroncoso Lora, Aliciaes
dc.creatorRiquelme Santos, José Cristóbales
dc.creatorAguilar Ruiz, Jesús Salvadores
dc.date.accessioned2016-07-08T08:18:40Z
dc.date.available2016-07-08T08:18:40Z
dc.date.issued2011
dc.identifier.citationMartínez Álvarez, F., Troncoso Lora, A., Riquelme Santos, J.C. y Aguilar Ruiz, J.S. (2011). Energy Time Series Forecasting Based on Pattern Sequence Similarity. IEEE Transactions on Knowledge and Data Engineering, 23 (8), 1230-1243.
dc.identifier.issn1041-4347es
dc.identifier.urihttp://hdl.handle.net/11441/43385
dc.description.abstractThis paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. Thus, the prediction of a data point is provided as follows: first, the pattern sequence prior to the day to be predicted is extracted. Then, this sequence is searched in the historical data and the prediction is calculated by averaging all the samples immediately after the matched sequence. The main novelty is that only the labels associated with each pattern are considered to forecast the future behavior of the time series, avoiding the use of real values of the time series until the last step of the prediction process. Results from several energy time series are reported and the performance of the proposed method is compared to that of recently published techniques showing a remarkable improvement in the prediction.es
dc.description.sponsorshipMinisterio de Ciencia y Tecnología TIN2007- 68084-C-00es
dc.description.sponsorshipJunta de Andalucia P07-TIC- 02611es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherIEEEes
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineering, 23 (8), 1230-1243.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEnergy Time Series Forecasting Based on Pattern Sequence Similarityes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2007- 68084-C02-02es
dc.relation.projectIDP07-TIC-02611es
dc.identifier.doihttp://dx.doi.org/10.1109/TKDE.2010.227es
idus.format.extent14es
dc.journaltitleIEEE Transactions on Knowledge and Data Engineeringes
dc.publication.volumen23es
dc.publication.issue8es
dc.publication.initialPage1230es
dc.publication.endPage1243es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/43385
dc.contributor.funderMinisterio de Ciencia y Tecnología (MCYT). España
dc.contributor.funderJunta de Andalucía

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