A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings ap
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ORIGINAL ARTICLE
A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression Paulino Jose´ Garcı´a-Nieto1 Antonio Bernardo Sa´nchez3
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Esperanza Garcı´a-Gonzalo1 • Jose´ Pablo Paredes-Sa´nchez2
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Received: 6 August 2020 / Accepted: 5 October 2020 Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract An energy performance certificate (EPC) provides information on the energy performance of an energy system. The objective of this research aimed at obtaining a predictive model for early detection of thermal power efficiency (TPE) for energy conversion and preservation in buildings. This article expounds a sound and solid nonparametric Bayesian technique known as Gaussian process regression (GPR) approach, based on a set of data collected from different dwellings in an oceanic climate. Firstly, this model introduces the relevance of each predictive variable on energy performance in residential buildings. The second result refers to the statement that we can predict successfully the TPE by using this model. A coefficient of determination equal to 0.9687 was thus established in order to predict the TPE from the observed data, using the GPR approach in combination with the differential evolution (DE) optimiser. The concordance between experimental observed data and the predicted data from the best-proposed novel hybrid DE/GPR-relied model demonstrated here the adequate efficiency of this innovative approach. Keywords Energy performance certificate (EPC) Gaussian process regression (GPR) Differential evolution (DE) Residential buildings
1 Introduction The analysis of energy management and energy consumption in buildings is essential to address the energy efficiency challenge in buildings and to meet the current demands for societal comfort, urban development and the resulting increase in energy consumption [1]. This sector that demands about 40% of total energy consumption worldwide, consequently, is also responsible for the
& Paulino Jose´ Garcı´a-Nieto [email protected] 1
Department of Mathematics, Faculty of Sciences, University of Oviedo, 33007 Oviedo, Spain
2
Department of Energy, College of Mining, Energy and Materials Engineering, University of Oviedo, 33004 Oviedo, Spain
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Department of Mining Technology, Topography and Structures, University of Leo´n, 24071 Leo´n, Spain
corresponding carbon emissions [2]. Energy performance certificates (EPCs) are a rating system aimed at determining the energy performance of buildings in the European Union [3]. The requirements for energy certification of buildings are laid down in Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 and are transposed in each European country in the form of a certification procedure for the energy performance of new buildings. Many factors determine a building performance based on energy demand such as weather conditions, buildi
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