Comparative Multiple Regression Analysis of Household Electricity use in Latvia: Using Smart Meter Data to Examine the Effect of Different Household Characteristics

Energy Procedia 2015
Ilze Laicāne, Dagnija Blumberga, Andra Blumberga, Marika Rošā

The development and implementation of the effective policies for promoting energy efficiency in household sector has been an emerging target of the EU. A recent analysis of Latvian households included in smart metering pilot shows that type of housing has been found as the most statistically significant variable that 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, households’ personal and socio-economical, socio-demographical characteristics. Multiple linear regression analysis is used to present and compare the results between two groups – target group with smart meters and control group without smart meters by differentiating among typical heating types as determined in a field study.

Keywords
Smart meters, household electricity consumption, electricity, user behavior, multiple regression, pilot project, space heating, building characteristics
DOI
10.1016/j.egypro.2015.06.008
Hyperlink
http://www.sciencedirect.com/science/article/pii/S1876610215006980

Laicāne, I., Blumberga, D., Blumberga, A., Rošā, M. Comparative Multiple Regression Analysis of Household Electricity use in Latvia: Using Smart Meter Data to Examine the Effect of Different Household Characteristics. Energy Procedia, 2015, Vol. 72, No. 1, pp.49-56. ISSN 1876-6102. Available from: doi:10.1016/j.egypro.2015.06.008

Publication language
English (en)