A privacy preserving approach to energy theft detection in smart grids

Richardson, C. and Race, N. and Smith, P. (2016) A privacy preserving approach to energy theft detection in smart grids. In: 2016 IEEE International Smart Cities Conference (ISC2) :. Smart Cities Conference (ISC2), 2016 IEEE International . IEEE, pp. 1-4. ISBN 9781509018475

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A major challenge for utilities is energy theft, wherein malicious actors steal energy for financial gain. One such form of theft in the smart grid is the fraudulent amplification of energy generation measurements from DERs, such as photo-voltaics. It is important to detect this form of malicious activity, but in a way that ensures the privacy of customers. Not considering privacy aspects could result in a backlash from customers and a heavily curtailed deployment of services, for example. In this short paper, we present a novel privacy-preserving approach to the detection of manipulated DER generation measurements.

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?? cryptographyenergy measurementeuclidean distancegeospatial analysisprivacysmart gridssmart metersdetectionenergy theftsmart gridsmart metering ??
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02 Nov 2016 14:06
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16 Jul 2024 03:56