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Mohammad A. Hossain, Case Western Reserve University
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Ethan M. Pickering, Case Western Reserve University
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Jack Mousseau, Case Western Reserve University
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Arash Khalilnejad, Case Western Reserve University
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Rachel A. Swanson, Case Western Reserve University
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Roger H. French, Case Western Reserve University
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Alexis R. Abramson, Case Western Reserve University
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Commercial buildings alone are responsible for 36% of the total United States electricity consumption, and on average 30% of this electricity consumption is wasted. One of the greatest challenges in improving building energy efficiency lies in the ability to do simple and non-intrusive disaggregation. Building energy disaggregation extracts system and equipment level energy signals from a whole building’s energy consumption data. This paper proposes a novel unsupervised non-intrusive building energy disaggregation technique using 15-minute interval whole-building energy consumption and weather data. The proposed disaggregation technique consists of an analysis loop with three steps.
