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A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings

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  • Ethan M Pickering
  • Mohammad A Hossain
  • Jack P Mousseau
  • Rachel A Swanson
  • Roger H French
  • Alexis R Abramson

Abstract

Current approaches to building efficiency diagnoses include conventional energy audit techniques that can be expensive and time consuming. In contrast, virtual energy audits of readily available 15-minute-interval building electricity consumption are being explored to provide quick, inexpensive, and useful insights into building operation characteristics. A cross sectional analysis of six buildings in two different climate zones provides methods for data cleaning, population-based building comparisons, and relationships (correlations) of weather and electricity consumption. Data cleaning methods have been developed to categorize and appropriately filter or correct anomalous data including outliers, missing data, and erroneous values (resulting in

Suggested Citation

  • Ethan M Pickering & Mohammad A Hossain & Jack P Mousseau & Rachel A Swanson & Roger H French & Alexis R Abramson, 2017. "A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-27, October.
    • Handle: RePEc:plo:pone00:0187129
    DOI: 10.1371/journal.pone.0187129
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    Citations

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    Cited by:

    1. Mark B. Glick & Eileen Peppard & Wendy Meguro, 2021. "Analysis of Methodology for Scaling up Building Retrofits: Is There a Role for Virtual Energy Audits?—A First Step in Hawai’i, USA," Energies, MDPI, vol. 14(18), pages 1-14, September.
    2. Arash Khalilnejad & Ahmad M Karimi & Shreyas Kamath & Rojiar Haddadian & Roger H French & Alexis R Abramson, 2020. "Automated pipeline framework for processing of large-scale building energy time series data," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-22, December.

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