Integration of Temporal Contextual Information for Robust Energy Disaggregation

Pascal A. Schirmer, Iosif Mporas

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    An extension of the baseline non-intrusive load monitoring approach using temporal contextual information is presented. It uses contextual information in order to capture time-varying power consumption patterns. The proposed methodology was evaluated using datasets of different sampling frequency, number, and types of appliances. The overall energy disaggregation accuracy was improved across all evaluated datasets with the maximum observed improvement in terms of absolute increase of accuracy being equal to 5.7%.

    Original languageEnglish
    Title of host publication2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    ISBN (Electronic)9781728110257
    DOIs
    Publication statusPublished - Oct 2019
    Event38th IEEE International Performance Computing and Communications Conference, IPCCC 2019 - London, United Kingdom
    Duration: 29 Oct 201931 Oct 2019

    Publication series

    Name2019 IEEE 38th International Performance Computing and Communications Conference, IPCCC 2019

    Conference

    Conference38th IEEE International Performance Computing and Communications Conference, IPCCC 2019
    Country/TerritoryUnited Kingdom
    CityLondon
    Period29/10/1931/10/19

    Keywords

    • Energy Disaggregation
    • Feature Concatenation
    • Non-intrusive load monitoring
    • Temporal Information

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