作者: S. Rahimi , A. D. C. Chan , R. A. Goubran
DOI: 10.1109/IEMBS.2011.6091313
关键词:
摘要: Profiling the usage of electrical devices within a smart home can be used as method for determining an occupant's activities daily living. A nonintrusive load monitoring system monitors consumption at single source (e.g., main electric utility service entry) and operating schedules individual are determined by disaggregating composite waveforms. An device's signature plays key role in systems. is unique behaviour device when it operation. This paper proposes feature-based model, using real power reactive features describing signatures devices. Experimental results recognition 7 show that proposed approach achieve 100% classification accuracy with discriminant analysis Mahalanobis distances.