Classification of AMI residential load profiles in the presence of missing data

Harvey, Poppy and Stephen, Bruce and Galloway, Stuart (2016) Classification of AMI residential load profiles in the presence of missing data. IEEE Transactions on Smart Grid, 7 (4). 1944 - 1945. ISSN 1949-3053 (https://doi.org/10.1109/TSG.2016.2558459)

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Abstract

Domestic energy usage patterns can be reduced to a series of classifications for power system analysis or operational purposes, generalizing household behavior into particular load profiles without noise induced variability. However, with AMI data transmissions over wireless networks becoming more commonplace data losses can inhibit classification negating the benefits to the operation of the power system as a whole. Here, an approach allowing incomplete load profiles to be classified while maintaining less than a 10% classification error with up to 20% of the data missing is presented.

ORCID iDs

Harvey, Poppy, Stephen, Bruce ORCID logoORCID: https://orcid.org/0000-0001-7502-8129 and Galloway, Stuart ORCID logoORCID: https://orcid.org/0000-0003-1978-993X;
  • Item type:Article
    ID code:56202
    Dates:
    Date
    Event
    31 July 2016
    Published
    28 April 2016
    Published Online
    20 April 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:20 Apr 2016 15:36
    Last modified:11 Nov 2024 11:24
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/56202
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