The NEAR Program>Predictors of seasonal residential electricity consumption

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Predictors of seasonal residential electricity consumption

Regression analysis of residential Victorian building, demographic and appliance use characteristics that correlate with seasonal electricity use.

PublishedFeb 2019
Location Vic
Author(s)
Commonwealth Scientific and Industrial Research Organisation
Citation

Romanach, L., and Frederiks, E. (2019). Predictors of household electricity use: An analysis of linked survey and electricity data. CSIRO.

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Full description

Drawing on household data collected as part of EUDM pilot surveying in Victoria, this asset explores the relationship between household characteristics and both annual and seasonal energy consumption. Results catalogue the key factors (e.g. socio-demographics, dwelling features and appliance characteristics) that predict household electricity consumption and whether the significance of these factors vary with season.

The asset includes:

  • A slide-deck highlighting high-level methodology and key findings;
  • An interactive tool for exploring the influence of different household characteristics on estimated seasonal and annual energy consumption. The tool is based on the linear regression model discussed on the final slide in the slide-deck.

Note that the results are based on a small sample of survey participants in Victoria only and that the R^2 performance of the regression model is relatively low. Results should therefore be viewed as indicative and illustrative, rather than representative.

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