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Identifying key variables and interactions in statistical models of building energy consumption using regularization

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  • Hsu, David

Abstract

Statistical models can only be as good as the data put into them. Data about energy consumption continues to grow, particularly its non-technical aspects, but these variables are often interpreted differently among disciplines, datasets, and contexts. Selecting key variables and interactions is therefore an important step in achieving more accurate predictions, better interpretation, and identification of key subgroups for further analysis.

Suggested Citation

  • Hsu, David, 2015. "Identifying key variables and interactions in statistical models of building energy consumption using regularization," Energy, Elsevier, vol. 83(C), pages 144-155.
    • Handle: RePEc:eee:energy:v:83:y:2015:i:c:p:144-155
    DOI: 10.1016/j.energy.2015.02.008
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    References listed on IDEAS

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