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Abstract
AbstractNon‐Technical Loss (NTL) fraud is a class of typical frauds in the power grids. The main form of NTL frauds is “stealing electricity” in the traditional power grid. Smart Grid has the capability of two‐way communication and two‐way electricity flow, and thus, adversaries can take advantage of it to commit NTL frauds via much more complicated ways. Many schemes have been proposed to detect NTL frauds. However, their detection speeds need to be improved. In this paper, a fast NTL fraud detector, named FNFD, is proposed. FNFD is based on Recursive Least Square to model adversary behavior. Experimental results show that FNFD outperforms existing schemes regarding detection speed and overhead. Moreover, experimental results and theoretical analysis of parameter selection are also provided. We further study the stability and convergence of FNFD theoretically. The study shows that FNFD is always convergent as a control method if and only if the input dataset is persistent exciting. Copyright © 2016 John Wiley & Sons, Ltd.
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