A graph-based signal processing approach for low-rate energy disaggregation

Stankovic, Vladimir and Liao, Jing and Stankovic, Lina; (2014) A graph-based signal processing approach for low-rate energy disaggregation. In: 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES) Proceedings. UNSPECIFIED, USA, pp. 81-87. ISBN 9781479945108 (https://doi.org/10.1109/CIES.2014.7011835)

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Abstract

Graph-based signal processing (GSP) is an emerging field that is based on representing a dataset using a discrete signal indexed by a graph. Inspired by the recent success of GSP in image processing and signal filtering, in this paper, we demonstrate how GSP can be applied to non-intrusive appliance load monitoring (NALM) due to smoothness of appliance load signatures. NALM refers to disaggregating total energy consumption in the house down to individual appliances used. At low sampling rates, in the order of minutes, NALM is a difficult problem, due to significant random noise, unknown base load, many household appliances that have similar power signatures, and the fact that most domestic appliances (for example, microwave, toaster), have usual operation of just over a minute. In this paper, we proposed a different NALM approach to more traditional approaches, by representing the dataset of active power signatures using a graph signal. We develop a regularization on graph approach where by maximizing smoothness of the underlying graph signal, we are able to perform disaggregation. Simulation results using publicly available REDD dataset demonstrate potential of the GSP for energy disaggregation and competitive performance with respect to more complex Hidden Markov Model-based approaches.

ORCID iDs

Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420, Liao, Jing ORCID logoORCID: https://orcid.org/0000-0002-5614-7939 and Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976;
  • Item type:Book Section
    ID code:51401
    Dates:
    Date
    Event
    9 December 2014
    Published
    Notes:© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:02 Feb 2015 11:41
    Last modified:11 Nov 2024 14:57
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/51401
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