Wavelet-Based Load Profile Representation for Smart Meter Privacy

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Provided by: University of Antwerp
Topic: Security
Format: PDF
A significant portion of (potential) end-users at this point in time are wary about possible disadvantages of smart grid technologies. A critical issue raised by end-users in various studies is the lack of trust in the level of privacy. Smart metering is the component in the end-user domain around which the most intense debate on privacy revolves, because load profiles are made available at high resolutions. Non-Intrusive Load Monitoring (NILM) techniques allow the analysis of these load profiles to infer user behavior, such as sleep-wake cycles. The authors investigate and compare the utility of different variants of the wavelet transform for creating a multi-resolution representation of load profiles.
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