Understanding the energy behavior of building occupants through the chronology of their energy interactions

Danielle Preziuso, Gregory Kaminski, Philip Odonkor

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    The energy consumption of buildings has traditionally been driven by the consumption habits of building occupants. However, with the proliferation of smart building technologies and appliances, automated machine decisions are beginning to impart their influence on building energy behavior as well. This is giving rise to a disconnect between occupant energy behavior and the overall energy consumption of buildings. Consequently, researchers can no longer leverage building energy consumption as a proxy for understanding human energy behavior. This paper addresses this problem by exploiting the habitual and sequential nature of human energy consumption. By studying the chronology of human energy actions, the results of this work present a promising new approach for non-intrusively learning about human energy behavior directly from building energy demand data.

    Original languageEnglish
    Title of host publication47th Design Automation Conference (DAC)
    ISBN (Electronic)9780791885383
    DOIs
    StatePublished - 2021
    Event47th Design Automation Conference, DAC 2021, Held as Part of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2021 - Virtual, Online
    Duration: 17 Aug 202119 Aug 2021

    Publication series

    NameProceedings of the ASME Design Engineering Technical Conference
    Volume3A-2021

    Conference

    Conference47th Design Automation Conference, DAC 2021, Held as Part of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2021
    CityVirtual, Online
    Period17/08/2119/08/21

    Keywords

    • Energy analysis
    • Gaussian mixture models
    • Human energy behavior

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