Comparative Multiple Regression Analysis of Households’ Electricity Use in Latvia: Using Smart Meter Data to Examine the Effect of Different Households’ Characteristics

Abstracts of 55th International Scientific Conference: Subsection: Environmental and Climate Technologies 2014
Ilze Laicāne, Dagnija Blumberga, Andra Blumberga, Marika Rošā

type, etc.) cause significant impact on household electricity consumption. The current paper aims at enhancing a more detailed evaluation in order to draw conclusions about factors affecting household electricity use, in particular, taking into account selected households’ characteristics by differentiating among typical heating types. Multiple regression analysis is used to present and compare results between two groups – a target group with smart meters and a control group without smart meters that are participating in the JSC “Latvenergo” pilot project “Promoting energy efficiency of household using smart technologies” (further – pilot project).

Keywords
Smart meters, household electricity consumption, multiple regression, building characteristics.

Laicāne, I., Blumberga, D., Blumberga, A., Rošā, M. Comparative Multiple Regression Analysis of Households’ Electricity Use in Latvia: Using Smart Meter Data to Examine the Effect of Different Households’ Characteristics. In: Abstracts of 55th International Scientific Conference: Subsection: Environmental and Climate Technologies, Latvia, Rīga, 14-15 October, 2014. Rīga: RTU Press, 2014, pp.15-16. ISBN 978-9934-10-612-5.

Publication language
English (en)