Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7399438 | Energy Policy | 2016 | 14 Pages |
Abstract
First, we define homogeneous consumption groups of households by using multivariate statistical techniques, namely the Multiple Correspondence Analysis and Ascending Hierarchical Classification. Second, we use standard OLS regression to explore the effects of various factors on domestic energy consumption among homogeneous groups of households. This multivariate analysis exercise has led us to identify four main consumption typologies. Results revealed that energy prices were the most important factors determining domestic energy consumption. In addition, this study showed that occupant characteristics significantly affect domestic energy use. Results of this research call for combine all efforts, multiple strategies and smart policies, to incorporate household and consumption behaviors in managing domestic energy consumption.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Fateh Belaïd,