Non-intrusive load disaggregation using graph signal processing

He, Kanghang and Stankovic, Lina and Liao, Jing and Stankovic, Vladimir (2018) Non-intrusive load disaggregation using graph signal processing. IEEE Transactions on Smart Grid, 9 (3). pp. 1739-1747. ISSN 1949-3053 (https://doi.org/10.1109/TSG.2016.2598872)

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Abstract

With the large-scale roll-out of smart metering worldwide, there is a growing need to account for the individual contribution of appliances to the load demand. In this paper, we design a Graph signal processing (GSP)-based approach for non-intrusive appliance load monitoring (NILM), i.e., disaggregation of total energy consumption down to individual appliances used. Leveraging piecewise smoothness of the power load signal, two GSP-based NILM approaches are proposed. The first approach, based on total graph variation minimization, searches for a smooth graph signal under known label constraints. The second approach uses the total graph variation minimizer as a starting point for further refinement via simulated annealing. The proposed GSP-based NILM approach aims to address the large training overhead and associated complexity of conventional graph-based methods through a novel event-based graph approach. Simulation results using two datasets of real house measurements demonstrate the competitive performance of the GSP-based approaches with respect to traditionally used Hidden Markov Model-based and Decision Tree-based approaches.

ORCID iDs

He, Kanghang ORCID logoORCID: https://orcid.org/0000-0001-8251-7991, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976, Liao, Jing ORCID logoORCID: https://orcid.org/0000-0002-5614-7939 and Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420;
  • Item type:Article
    ID code:57228
    Dates:
    Date
    Event
    31 May 2018
    Published
    9 August 2016
    Published Online
    1 August 2016
    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:03 Aug 2016 08:59
    Last modified:30 Nov 2024 14:04
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/57228
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