NDLI: Load recognition for different loads with the same real power and reactive power in a non-intrusive load-monitoring system

Content Provider	IEEE Xplore Digital Library
Author	Hsueh-Hsien Chang Ching-Lung Lin Hong-Tzer Yang
Copyright Year	2008
Description	Author affiliation: Dept. of Electron. Eng., Jin Wen Univ. of Sci. & Technol., Taipei (Hsueh-Hsien Chang)
Abstract	This paper proposes the use of power signature to recognize different loads with the same real power and reactive power in a non-intrusive load-monitoring (NILM) system. To test the performance of the proposed approach, the data sets for electrical loads were analyzed and established using an electromagnetic transient program (EMTP) and onsite load measurement. Load recognition techniques were applied in a neural network. The effectiveness of load recognition and the time requirement were analyzed and compared using a back propagation classifier method. The experiments revealed that analyzing the turn-on transient energy signatures can enhance the efficiency of load recognition, particularly for different loads with the same real power and reactive power in a NILM system, and improve ability of computational speed.
Starting Page	1122
Ending Page	1127
File Size	138275
Page Count	6
File Format	PDF
ISBN	9781424416509
DOI	10.1109/CSCWD.2008.4537137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reactive power EMTP Transient analysis Testing Electromagnetic analysis Performance analysis Electric variables measurement Electromagnetic measurements Neural networks Electromagnetic propagation Electromagnetic Transient Program Load Recognition Neural Network Non-Intrusive Load Monitoring
Content Type	Text
Resource Type	Article

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