Show simple item record Dhananjaya, WAK Rathnayake, RMMR Samarathunga, SCJ Senanayake, CI Wickramarachchi, N 2015-08-03T10:07:09Z 2015-08-03T10:07:09Z 2015-08-03
dc.description.abstract Appliance specific load monitoring is very useful in energy management solutions that are becoming a challenging task with growing energy demand. It facilitates appliance recognition and load monitoring such that optimum resource utilization can be achieved by correct appliance scheduling. In this paper we present a study of non-intrusive load recognition using steady state appliance signatures for identifying commonly used household appliances. Current harmonics, active and reactive power components acquired from data loggers are used as appliance signature in this study. This analysis enables the capability of providing detailed information on appliances in use and consumers could benefit from customized energy management recommendations. Also, suppliers could implement smart metering technology introducing appliance level information as well. We propose algorithms for non-intrusive load recognition using combination of several methods and techniques. It was seen that a higher accuracy of identification could be achieved when a combination of techniques are used rather than using a single technique. en_US
dc.description.sponsorship IEEE IEEE Sri Lanka Section Robotics and Automation Section Chapter, IEEE Sri Lanka Section en_US
dc.language.iso en en_US
dc.subject appliance signature; demand identification; harmonic analysis; signature analysis en_US
dc.title Appliance-Level Demand Identification Through Signature Analysis en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electrical Engineering University of Moratuwa Katubedda, Sri Lanka en_US
dc.identifier.year 2015 en_US
dc.identifier.conference MERCon 2015 Moratuwa Engineering Research Conference en_US University of Moratuwa, Sri Lanka en_US
dc.identifier.pgnos p 38-39 en_US en_US en_US en_US en_US en_US

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