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ID162950
Title ProperFeatures of residential energy consumption
Other Title Informationevidence from France using an innovative multilevel modelling approach
LanguageENG
AuthorBelaïd, Fateh
Summary / Abstract (Note)Recent efforts to reduce residential energy consumption have renewed interest in investigating salient drivers of household energy use. This article contributes to the ongoing literature by developing a model for examining geographic effects on energy use. Using a new, rich, micro-level survey that compiles information about dwelling attributes, occupant characteristics, and behaviors, we suggest a combined bottom-up and top-down statistical approach based on a multilevel regression model (MRM) and an innovative variable selection approach via the Adaptive Elastic Net Regularization technique (AdaEnetR). This approach enables us to extract geographic effects from the total variation in residential energy consumption and simultaneously explain the remaining variation with relevant explanatory variables and their interactions. The current model addresses several interrelated issues posed by the use of econometric methods to examine residential energy demand, including the risk of aggregation/disaggregation bias. Our empirical findings demonstrate the MRM's ability to effectively quantify approximately 0.67% of the geographic effects (aggregate level) and approximately 0.31% of the household and dwelling effects (individual level). Further, the findings show that household attributes are important factors that influence residential energy consumption patterns.
`In' analytical NoteEnergy Policy Vol. 125; Feb 2019: p.277-285
Journal SourceEnergy Policy 2019-02 125
Key WordsEnergy Efficiency ;  Residential Energy Consumption ;  Multilevel Regression ;  Geographic Effects