Blind non-intrusive appliance load monitoring using graph-based signal processing

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir; (2016) Blind non-intrusive appliance load monitoring using graph-based signal processing. In: 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., USA, pp. 68-72. ISBN 9781479975914 (https://doi.org/10.1109/GlobalSIP.2015.7418158)

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Abstract

With ongoing massive smart energy metering deployments, disaggregation of household's total energy consumption down to individual appliances using purely software tools, aka. non-intrusive appliance load monitoring (NALM), has generated increased interest. However, despite the fact that NALM was proposed over 30 years ago, there are still many open challenges. Indeed, the majority of approaches require training and are sensitive to appliance changes requiring regular re-training. In this paper, we tackle this challenge by proposing a "blind" NALM approach that does not require any training. The main idea is to build upon an emerging field of graph-based signal processing to perform adaptive thresholding, signal clustering and feature matching. Using two datasets of active power measurements with 1min and 8sec resolution, we demonstrate the effectiveness of the proposed method using a state-of-the-art NALM approaches as benchmarks.

ORCID iDs

Zhao, Bochao ORCID logoORCID: https://orcid.org/0000-0001-9546-3101, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420;
  • Item type:Book Section
    ID code:56413
    Dates:
    Date
    Event
    23 February 2016
    Published
    4 August 2015
    Accepted
    Notes:(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components 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:18 May 2016 10:16
    Last modified:11 Nov 2024 15:05
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/56413
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