PHASED: Phase-Aware Submodularity-Based Energy Disaggregation
- URL: http://arxiv.org/abs/2010.00696v1
- Date: Thu, 1 Oct 2020 21:47:33 GMT
- Title: PHASED: Phase-Aware Submodularity-Based Energy Disaggregation
- Authors: Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, and Nicholas D.
Sidiropoulos
- Abstract summary: PHASED exploits the structure of power distribution systems to make use of readily available measurements.
We leverage this form by applying a discrete optimization variant of the majorization-minimization algorithm.
PhaseD improves the disaggregation accuracy of state-of-the-art models by up to 61% and achieves better prediction on heavy load appliances.
- Score: 39.54428560328832
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Energy disaggregation is the task of discerning the energy consumption of
individual appliances from aggregated measurements, which holds promise for
understanding and reducing energy usage. In this paper, we propose PHASED, an
optimization approach for energy disaggregation that has two key features:
PHASED (i) exploits the structure of power distribution systems to make use of
readily available measurements that are neglected by existing methods, and (ii)
poses the problem as a minimization of a difference of submodular functions. We
leverage this form by applying a discrete optimization variant of the
majorization-minimization algorithm to iteratively minimize a sequence of
global upper bounds of the cost function to obtain high-quality approximate
solutions. PHASED improves the disaggregation accuracy of state-of-the-art
models by up to 61% and achieves better prediction on heavy load appliances.
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