AbstractThe development and implementation of effective policies for promoting energy efficiency in the household sector has been an emerging target of the EU. A recent analysis of Latvian households included in a smart metering pilot, shows this type of housing as the most statistically significant variable to impact electricity savings. This study deals with the statistical analysis of residential buildings to find simplified correlations for the assessment of factors affecting changes in electricity consumption, in particular, taking into account selected building characteristics, as well as the personal, socio-economic, socio-demographic characteristics of households. Multiple linear regression analysis is used to present and compare results between two groups – the target group with smart meters and control group without smart meters by differentiating among typical heating types as determined in a field study.