Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data
Autor: | Marta Braulio-Gonzalo, Andrea Jorge-Ortiz, Pablo Juan, María D. Bovea |
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Rok vydání: | 2021 |
Předmět: |
Computer science
020209 energy Mechanical Engineering Energy (esotericism) 02 engineering and technology Building and Construction Energy consumption Pollution Industrial and Manufacturing Engineering Energy policy Variable (computer science) General Energy 020401 chemical engineering Work (electrical) Covariate 0202 electrical engineering electronic engineering information engineering Econometrics Survey data collection 0204 chemical engineering Electrical and Electronic Engineering Set (psychology) Civil and Structural Engineering |
Zdroj: | Energy. 231:120835 |
ISSN: | 0360-5442 |
Popis: | Multiple variables can affect the energy performance of a building and, generally, they can be divided into four groups: household typology, construction features, technical building systems and socio-economic profile. The aim of this work is to determine the best-fit response variable for modelling the energy consumption of households. The study seeks to answer two main research questions: RQ1 What is the most appropriate response variable to model the energy use for the household sector? And RQ2 What influence do a set of household-related variables have on households' energy use and what kinds affect it the most? To address both questions, firstly, different response variables were explored and the one with the best fit for modelling the energy use, according to statistical comparison parameters, was selected. Secondly, a global sensitivity analysis was performed to analyse the significance of each covariate included in the models. The results revealed that the socio-economic profile of the occupants is the most influential cluster and including occupation as a rate in the energy indicator contributes notably to improving the model. The study highlights the occupants’ profile as a key factor and offers a valuable basis for practitioners to make decisions regarding energy policies. |
Databáze: | OpenAIRE |
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