Arregi, BeñatGaray, Roberto2017Arregi , B & Garay , R 2017 , ' Regression analysis of the energy consumption of tertiary buildings ' , Energy Procedia , vol. 122 , pp. 9-14 . https://doi.org/10.1016/j.egypro.2017.07.2901876-6102researchoutputwizard: 11556/450Publisher Copyright: © 2017 The Authors. Published by Elsevier Ltd.Energy 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.6829382enginfo:eu-repo/semantics/openAccessconference output10.1016/j.egypro.2017.07.290Energy signatureLinear regressionTertiary buildingsEnergy signatureLinear regressionTertiary buildingsGeneral EnergyProject IDinfo:eu-repo/grantAgreement/EC/FP7/609377/EU/REtrofitting Solutions and Services for the enhancement of Energy Efficiency in Public Edification/RESSEEPEinfo:eu-repo/grantAgreement/EC/FP7/609377/EU/REtrofitting Solutions and Services for the enhancement of Energy Efficiency in Public Edification/RESSEEPEFunding InfoThe 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.The 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.http://www.scopus.com/inward/record.url?scp=85029898223&partnerID=8YFLogxK