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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hsueh-Hsien Chang Kuo-Lung Lian Yi-Ching Su Wei-Jen Lee |
| Copyright Year | 1972 |
| Abstract | Though the wavelet transform coefficients (WTCs) contain plenty of information needed for turn-on/off transient signal identification of load events, adopting the WTCs directly requires longer computation time and larger memory requirements for the nonintrusive load monitoring identification process. To effectively reduce the number of WTCs representing load turn-on/off transient signals without degrading performance, a power spectrum of the WTCs in different scales calculated by Parseval's theorem is proposed and presented in this paper. The back-propagation classification system is then used for artificial neural network construction and load identification. The high success rates of load event recognition from both experiments and simulations have proved that the proposed algorithm is applicable in multiple load operations of nonintrusive demand monitoring applications. |
| Sponsorship | IEEE Industry Applications Society |
| Starting Page | 2081 |
| Ending Page | 2089 |
| Page Count | 9 |
| File Size | 752645 |
| File Format | |
| ISSN | 00939994 |
| Volume Number | 50 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Transient analysis Feature extraction Discrete wavelet transforms Monitoring Artificial neural networks load identification Artificial neural networks (ANNs) Parseval’s Theorem wavelet transform non-intrusive load monitoring (NILM) wavelet transform (WT) nonintrusive load monitoring (NILM) Parseval's theorem |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering |
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