Improving event-based non-intrusive load monitoring using graph signal processing

Zhao, Bochao and He, Kanghang and Stankovic, Lina and Stankovic, Vladimir (2018) Improving event-based non-intrusive load monitoring using graph signal processing. IEEE Access. pp. 1-15. ISSN 2169-3536 (https://doi.org/10.1109/ACCESS.2018.2871343)

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Abstract

Large-scale smart energy metering deployment worldwide and integration of smart meters within the smart grid will enable two-way communication between the consumer and energy network, thus ensuring improved response to demand. Energy disaggregation or Non-intrusive load monitoring (NILM), namely disaggregation of the total metered electricity consumption down to individual appliances using purely algorithmic tools, is gaining popularity as an added-value that makes the most of meter data. However, NILM remains a challenging problem since NILM is susceptible to sensor noise, unknown load noise, transient spikes and fluctuations. In this paper, we tackle this problem using novel graph signal processing (GSP) concepts, applied at both, physical signal level via graph-based filtering and data level, via effective semi-supervised GSP-based feature matching. The proposed GSP-based method is generic and can be used to improve results of various event-based NILM approaches. We demonstrate significant improvement in performance using three state-of-the-art NILM methods, both supervised and unsupervised, and real-world active power consumption readings from the REDD and REFIT datasets, sampled at 1 and 8 seconds, respectively.

ORCID iDs

Zhao, Bochao ORCID logoORCID: https://orcid.org/0000-0001-9546-3101, He, Kanghang ORCID logoORCID: https://orcid.org/0000-0001-8251-7991, 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:Article
    ID code:65550
    Dates:
    Date
    Event
    20 September 2018
    Published
    20 September 2018
    Published Online
    12 September 2018
    Accepted
    Notes:© 2018 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:26 Sep 2018 13:51
    Last modified:19 Nov 2024 10:45
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/65550
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