On the Use of Functional Additive Models for Electricity Demand and Price Prediction

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.endPage9613es_ES
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)es_ES
UDC.journalTitleIEEE Accesses_ES
UDC.startPage9603es_ES
UDC.volume6es_ES
dc.contributor.authorRaña-Míguez, Paula
dc.contributor.authorVilar, Juan M.
dc.contributor.authorAneiros, Germán
dc.date.accessioned2024-06-19T12:07:22Z
dc.date.available2024-06-19T12:07:22Z
dc.date.issued2018-02-12
dc.descriptionThis version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/ACCESS.2018.2805819es_ES
dc.description.abstract[Abstract]: This paper presents an application of functional additive models in the context of electricity demand and price prediction. Data from the Spanish electricity market are used to obtain the pointwise predictions. Also prediction intervals, based on a bootstrap procedure, are computed. This approach is compared with the use of other functional regression methods applied to the same data set by Aneiros et al. (2016).es_ES
dc.description.sponsorshipThis work was supported in part by the Spanish Ministerio de Economía y Competitividad under Grant MTM2014-52876-R and Grant MTM2017-82724-R, in part by the Xunta de Galicia through Centro Singular de Investigación de Galicia accreditation under Grant ED431G/01 2016-2019 and through the Grupos de Referencia Competitiva under Grant ED431C2016-015, and in part by the European Union (European Regional Development Fund).es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01 2016-2019es_ES
dc.description.sponsorshipXunta de Galicia; ED431C2016-015es_ES
dc.identifier.citationP. Raña, J. Vilar and G. Aneiros, "On the Use of Functional Additive Models for Electricity Demand and Price Prediction," in IEEE Access, vol. 6, pp. 9603-9613, 2018, doi: 10.1109/ACCESS.2018.2805819es_ES
dc.identifier.doi10.1109/ACCESS.2018.2805819
dc.identifier.urihttp://hdl.handle.net/2183/37153
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2014-52876-R/ES/INFERENCIA ESTADISTICA COMPLEJA Y DE ALTA DIMENSION: EN GENOMICA, NEUROCIENCIA, ONCOLOGIA, MATERIALES COMPLEJOS, MALHERBOLOGIA, MEDIO AMBIENTE, ENERGIA Y APLICACIONES INDUSTRIALESes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSIONes_ES
dc.relation.urihttps://doi.org/10.1109/ACCESS.2018.2805819es_ES
dc.rights© 2018 IEEE.es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectAdditive modeles_ES
dc.subjectFunctional dataes_ES
dc.subjectFunctional time series forecastinges_ES
dc.subjectLoad and pricees_ES
dc.subjectPrediction intervalses_ES
dc.titleOn the Use of Functional Additive Models for Electricity Demand and Price Predictiones_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication0989dd87-d6af-4898-9a42-5254a77da437
relation.isAuthorOfPublication8266f7ba-97e2-451f-9c0a-5501266378e0
relation.isAuthorOfPublication449cae44-40ef-41ac-994a-834bd5a05b2f
relation.isAuthorOfPublication.latestForDiscovery0989dd87-d6af-4898-9a42-5254a77da437

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