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Demographical Energy Usage Analysis of Residential Buildings

[+] Author Affiliations
Alice Sokolova, Baris Aksanli

San Diego State University, San Diego, CA

Paper No. ES2018-7327, pp. V001T06A002; 7 pages
doi:10.1115/ES2018-7327
From:
  • ASME 2018 12th International Conference on Energy Sustainability collocated with the ASME 2018 Power Conference and the ASME 2018 Nuclear Forum
  • ASME 2018 12th International Conference on Energy Sustainability
  • Lake Buena Vista, Florida, USA, June 24–28, 2018
  • Conference Sponsors: Advanced Energy Systems Division, Solar Energy Division
  • ISBN: 978-0-7918-5141-8
  • Copyright © 2018 by ASME

abstract

Residential energy consumption constitutes a significant portion of the overall energy consumption. There are significant amount of studies that target to reduce this consumption, and these studies mainly create mathematical models to represent and regenerate the energy consumption of individual houses. Most of these models assume that the residential energy consumption can be classified and then predicted based on the household size. As a result, most of the previous studies suggest that household size can be treated as an independent variable which can be used to predict energy consumption. In this work, we test this hypothesis on a large residential energy consumption dataset that also includes demographic information. Our results show that other variables like income, geographic location, house type, and personal preferences strongly impact energy consumption and decrease the importance of household size because the household size can explain only 26.55% of the electricity consumption variation across the houses.

Copyright © 2018 by ASME

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