Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

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    2. M. Buzau, J. Aguilera, P. Romero, and A. Expósito, ―Detection of Non-Technical Losses Using Smart Meter Data and Supervised Learning,‖ IEEE Trans. Smart Grid, Feb. 2018.
    3. Raghwendra Shukla, Mayur Vidhwani, Prof. V.R. Ghule, ―ELECTRICITY THEFT DETECTION USING MACHINE LEARNING‖, 2012.
    4. Jeyaranjani J, Devaraj D, ―Machine Learning Algorithm for Efficient Power Theft Detection using Smart Meter Data,‖ 2013.
    5. S. MCLAUGHLIN , B. HOLBERT, A. FAWAZ, R. BERTHIER, AND S. ZONOUZ , ―A multi-sensor energy theft detection framework for advanced metering infrastructures,‖ IEEE J. Sel. Areas Commun., vol. 31, no. 7, pp. 1319–1330, Jul. 2013.
    6. J. I. GUERRERO , C. LEON, I. MONEDERO, F. BISCARRI, AND J. BISCARRI , ―Improving knowledge-based systems with statistical techniques, text mining, and neural networks for non-technical loss detection.‖ Knowl.- Based Syst., vol. 71, pp. 376–388, 2014.
    7. J. R. FILHO, E. M. GONTIJO, A. C. DELAIBA, E. MAZINA, J. E. CABRAL, AND J. O. P. PINTO, ―Fraud Identification in Electricity Company Customers Using Decision Trees,‖ in Proc. of 2004 IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 3730-3734, Oct. 2004.

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