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Energy and Built Environment
Article . 2020 . Peer-reviewed
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Energy and Built Environment
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What are the odds? On the determinants of high residential energy expenditure

Authors: Besagni G.; Borgarello M.;

What are the odds? On the determinants of high residential energy expenditure

Abstract

A precise understanding of the relationships between the household characteristics and the residential energy consumption is needed to support the implementation of effective top-bottom energy strategies and to improve the prediction of forecasting models. This paper contributes to the present-day discussion and analyses the building factors, socio-demographic variables and appliances contributing to high-energy expenditures (viz., electrical energy expenditure, thermal energy expenditure and total energy expenditure) in the Italian households. The proposed study builds on an earlier work proposed by the authors, which identified the determinants of the household energy expenditures, based on a nationally representative survey (the “household Budget Survey: microdata for research purposes - 2015″ performed by the Italian National Institute of Statistics). In particular, the present paper completes and extends the previous research by applying the odds-ratio analysis to the previously identified determinants, in order to identify the factors that led to high electricity consumption (viz., electrical energy expenditure, thermal energy expenditure and total energy expenditure). In conclusion, this paper aims to providing a more precise understanding of the factors that certainly affect the energy expenditure.

Country
Italy
Related Organizations
Keywords

Building construction, Environmental technology. Sanitary engineering, Odd-ratio, Residential sector, Household variables, Energy expenditure, Determinants, TD1-1066, TH1-9745

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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
gold