Data for: Using Multiple Data Sources to Detect Manipulated Electricity Meter by an Entropy-Inspired Metric

Published: 11 Jan 2020 | Version 1 | DOI: 10.17632/xczmmd2g64.1
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Description of this data

This GNU R package contains sample data of the ECO data as well as all methods introduced in this paper, including methods to derive the 'activity'-features, generate a matrix with multiple datasources and compute the entropy. An example usage is described in the documentation.

Package: DemandAnomalyDetection
Title: Energy Demand Anomaly Detection
Version: 0.1-1
Maintainer: Denis Hock <dehock@fb2.fra-uas.de>
Description: Anomaly Detection according to the article - Using Multiple Data Sources to Detect Manipulated Electricity Meter by an Entropy-Inspired Metric. The input data is a time series of power (W). Using this package, we can compute higher level features to easily detect energy theft. It is also possible to compute the entropy in order to compare several data sources.

Experiment data files

This data is associated with the following publication:

Using multiple data sources to detect manipulated electricity meter by an entropy-inspired metric

Published in: Sustainable Energy, Grids and Networks

Latest version

  • Version 1

    2020-01-11

    Published: 2020-01-11

    DOI: 10.17632/xczmmd2g64.1

    Cite this dataset

    Hock, Denis; Kappes, Martin; Ghita, Bogdan (2020), “Data for: Using Multiple Data Sources to Detect Manipulated Electricity Meter by an Entropy-Inspired Metric”, Mendeley Data, v1 http://dx.doi.org/10.17632/xczmmd2g64.1

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Categories

Detection System, Theft, Smart Grid

Licence

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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