Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression

dc.contributor.author	Díaz González, Domingo Guzmán
dc.contributor.author	Coto Aladro, José
dc.contributor.author	Gómez-Aleixandre Fernández, Javier
dc.date.accessioned	2019-08-21T07:33:15Z
dc.date.available	2019-08-21T07:33:15Z
dc.date.issued	2019
dc.identifier.citation	Applied Energy, 239, p. 610-625 (2019); doi:10.1016/j.apenergy.2019.01.213
dc.identifier.issn	0306-2619
dc.identifier.uri	http://hdl.handle.net/10651/51874
dc.description.sponsorship	This work was supported in part by the Spanish Ministry of Economics, Industry, and Competitivity under Grant ENE2016-80053-R
dc.format.extent	p. 610-625
dc.language.iso	eng
dc.relation.ispartof	Applied Energy
dc.rights	© 2019 Elsevier Ltd. All rights reserved.
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061029972&doi=10.1016%2fj.apenergy.2019.01.213&partnerID=40&md5=b63d7183c4ca502872c554da6665a68a
dc.title	Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression
dc.type	journal article
dc.identifier.doi	10.1016/j.apenergy.2019.01.213
dc.relation.projectID	ENE2016-80053-R
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.apenergy.2019.01.213
dc.rights.accessRights	open access
dc.type.hasVersion	SMUR

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