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Regression analysis of the energy consumption of tertiary buildings

dc.contributor.authorArregi, Beñat
dc.contributor.authorGaray, Roberto
dc.date.accessioned2017-11-09T11:16:10Z
dc.date.available2017-11-09T11:16:10Z
dc.date.issued2017
dc.identifier.citationArregi, Beñat, and Roberto Garay. “Regression Analysis of the Energy Consumption of Tertiary Buildings.” Energy Procedia 122 (September 2017): 9–14. doi:10.1016/j.egypro.2017.07.290.en
dc.identifier.issn1876-6102en
dc.identifier.urihttp://hdl.handle.net/11556/450
dc.description.abstractEnergy signature methods are applied over three tertiary buildings in the UK, Sweden and Spain, based on both simulations and experimental data, for pre- and post-retrofit scenarios. Variations in their energy profiles relate to differences in climate severity, usage pattern (continuous/discontinuous) and HVAC scheduling. This study discusses the impact of such particularities for obtaining a steady-state linear regression model of the dependence of heating energy load against climate data. The choices of dataset and time step have important implications for the results obtained.en
dc.description.sponsorshipThe research leading to these results has been partly developed within the RESSEEPE project, funded by the European Union's Seventh Framework Programme (FP7) under grant agreement no. 609377.en
dc.language.isoengen
dc.publisherELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDSen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleRegression analysis of the energy consumption of tertiary buildingsen
dc.typeconferenceObjecten
dc.identifier.doi10.1016/j.egypro.2017.07.290en
dc.isiYesen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/609377/EU/REtrofitting Solutions and Services for the enhancement of Energy Efficiency in Public Edification/RESSEEPEen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsEnergy signatureen
dc.subject.keywordsLinear regressionen
dc.subject.keywordsTertiary buildingsen
dc.journal.titleEnergy Procediaen
dc.page.final14en
dc.page.initial9en
dc.volume.number122en


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