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On the Use of Functional Additive Models for Electricity Demand and Price Prediction
| dc.contributor.author | Raña, Paula | |
| dc.contributor.author | Vilar, Juan M. | |
| dc.contributor.author | Aneiros Pérez, Germán | |
| dc.date.accessioned | 2024-06-19T12:07:22Z | |
| dc.date.available | 2024-06-19T12:07:22Z | |
| dc.date.issued | 2018-02-12 | |
| dc.identifier.citation | P. 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.2018.2805819 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/2183/37153 | |
| dc.description | This 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.2018.2805819 | es_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.sponsorship | This 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.sponsorship | Xunta de Galicia; ED431G/01 2016-2019 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C2016-015 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | es_ES |
| dc.relation | info: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 INDUSTRIALES | es_ES |
| dc.relation | info: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 DIMENSION | es_ES |
| dc.relation.uri | https://doi.org/10.1109/ACCESS.2018.2805819 | es_ES |
| dc.rights | © 2018 IEEE. | es_ES |
| dc.subject | Additive model | es_ES |
| dc.subject | functional data | es_ES |
| dc.subject | functional time series forecasting | es_ES |
| dc.subject | load and price | es_ES |
| dc.subject | prediction intervals | es_ES |
| dc.title | On the Use of Functional Additive Models for Electricity Demand and Price Prediction | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.journalTitle | IEEE Access | es_ES |
| UDC.volume | 6 | es_ES |
| UDC.startPage | 9603 | es_ES |
| UDC.endPage | 9613 | es_ES |
| dc.identifier.doi | 10.1109/ACCESS.2018.2805819 |
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