Game-Theoretic Models of Electricity Theft Detection in Smart Utility Networks: Providing New Capabilities with Advanced Metering Infrastructure

The smart grid refers to the modernization of the power grid infrastructure with new technologies, enabling a more intelligently networked automated system with the goal of improving efficiency, reliability, and security, while providing more transparency and choices to electricity customers. A key technology being widely deployed on the consumption side of the grid is advanced metering infrastructure (AMI).

[1]  Lingfeng Wang,et al.  Support vector machine based data classification for detection of electricity theft , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[2]  Pedro Antmann,et al.  Reducing Technical and Non-Technical Losses in the Power Sector , 2009 .

[3]  Alvaro A. Cárdenas,et al.  Evaluating Electricity Theft Detectors in Smart Grid Networks , 2012, RAID.

[4]  Ingo Vogelsang,et al.  Electricity Transmission Pricing and Performance-Based Regulation , 2005, SSRN Electronic Journal.

[5]  Saman A. Zonouz,et al.  A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures , 2013, IEEE Journal on Selected Areas in Communications.

[6]  Patrick D. McDaniel,et al.  Protecting consumer privacy from electric load monitoring , 2011, CCS '11.

[7]  Naoki Tanaka,et al.  Distributed non-intrusive load monitoring , 2011, ISGT 2011.

[8]  Annabelle Lee,et al.  Guidelines for Smart Grid Cyber Security , 2010 .

[9]  Dmitry Podkuiko,et al.  Multi-vendor penetration testing in the advanced metering infrastructure , 2010, ACSAC '10.

[10]  Jun Luo,et al.  Energy-theft detection issues for advanced metering infrastructure in smart grid , 2014, Tsinghua Science and Technology.

[11]  M. Armstrong,et al.  Recent developments in the theory of regulation , 2007 .

[12]  Georgios Kalogridis,et al.  Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[13]  Andrew W. Appel Security Seals on Voting Machines: A Case Study , 2011, TSEC.

[14]  Nancy L. Rose,et al.  Incentive Regulationin Theory and PracticeElectricity Distribution and Transmission Networks , 2014 .

[15]  J.E.R. Alves,et al.  Identification of energy theft and tampered meters using a central observer meter: a mathematical approach , 2003, 2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495).

[16]  J. Laffont,et al.  The Theory of Incentives: The Principal-Agent Model , 2001 .

[17]  Sieh Kiong Tiong,et al.  Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines , 2010, IEEE Transactions on Power Delivery.

[18]  A. H. Nizar,et al.  Identification and detection of electricity customer behaviour irregularities , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[19]  Dmitry Podkuiko,et al.  Energy Theft in the Advanced Metering Infrastructure , 2009, CRITIS.

[20]  Carl A. Gunter,et al.  Cumulative Attestation Kernels for Embedded Systems , 2009, IEEE Transactions on Smart Grid.