%0 Journal Article %A Arregi, BeƱat %A Garay, Roberto %T Regression analysis of the energy consumption of tertiary buildings %D 2017 * ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS %X 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. %@ 1876-6102 %K Energy signature %K Linear regression %K Tertiary buildings doi 10.1016/j.egypro.2017.07.290 %U http://hdl.handle.net/11556/450 %~ GOEDOC, SUB GOETTINGEN