Electricity theft is a major financial loss for utility companies worldwide, costing them billions of dollars each year. Traditional methods of detecting theft either require large labelled datasets or can be expensive to implement, requiring the installation of expensive sensors. Our approach addresses these limitations by recognizing that the loss due to power theft and fraud is more intricately associated to the energy consumption measurements of the dishonest customers rather than that of normal consumers. Building on this understanding, we have framed the issue of power theft detection as a time- series correlation analysis problem. In our work, we have used Hoeffding's D method as a measure of association between ETL and power consumption of consumers. Hoeffding's D operates on a non-parametric basis, implying that it does not rely on any specific assumptions about the probability distribution inherent within the dataset. Hoeffding's D measure exhibits reduced sensitivity to outliers and serves as a more potent tool for detecting associations that are nonlinear and non-monotonic in nature. To validate our method, we conducted a series of experiments on real-world energy consumption data, encompassing a range of attack scenarios. The outcomes of these experiments demonstrate that our proposed technique notably enhances the accuracy of identifying deceitful customers when compared to alternative state-of-the-art methods based on correlation analysis.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Hoeffding D Statistic Approach for Detecting Electricity Theft


    Beteiligte:


    Erscheinungsdatum :

    31.07.2024


    Format / Umfang :

    1507469 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    THE CONTROL DEVICE OF ELECTRICITY THEFT

    O. V. Ostapchuk / P. Yu. Krasovskyi | DOAJ | 2008

    Freier Zugriff

    APPARATUS FOR DETECTING VEHICLE THEFT

    YANG SEUNG HEE | Europäisches Patentamt | 2022

    Freier Zugriff

    Electricity theft concerns within advanced energy technologies

    Bihl, Trevor J. / Hajjar, Salam | IEEE | 2017


    DETECTING TIRE OR WHEEL THEFT ACTIVITY

    MORRIS BRIAN RICHARD / MILLIREN MARK ROBERT | Europäisches Patentamt | 2024

    Freier Zugriff

    DETECTING TIRE OR WHEEL THEFT ACTIVITY

    MORRIS BRIAN RICHARD / MILLIREN MARK ROBERT | Europäisches Patentamt | 2024

    Freier Zugriff