Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine

Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine

Energy signature analysis of power appliance is the core of nonintrusive load monitoring (NILM) where the detailed data of the appliances used in houses are obtained by analyzing changes in the voltage and current. This paper focuses on developing an automatic power load event detection and applianc...

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Bibliographic Details
Main Authors:	Lei Jiang, Jiaming Li, Suhuai Luo, Sam West, Glenn Platt
Format:	Article
Language:	English
Published:	Wiley 2012-01-01
Series:	Applied Computational Intelligence and Soft Computing
Online Access:	http://dx.doi.org/10.1155/2012/742461
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