| contributor author | Hsueh-Hsien Chang | |
| contributor author | Kuo-Lung Lian | |
| contributor author | Yi-Ching Su | |
| contributor author | Wei-Jen Lee | |
| date accessioned | 2020-03-12T18:28:40Z | |
| date available | 2020-03-12T18:28:40Z | |
| date issued | 2014 | |
| identifier issn | 0093-9994 | |
| identifier other | 6607153.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/959820?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7992429 | |
| subject keywords | backpropagation | |
| subject keywords | load (electric) | |
| subject keywords | power engineering computing | |
| subject keywords | power system identification | |
| subject keywords | power system measurement | |
| subject keywords | wavelet transforms | |
| subject keywords | Parseval' | |
| subject keywords | s theorem | |
| subject keywords | WTC | |
| subject keywords | artificial neural network construction | |
| subject keywords | backpropagation classification system | |
| subject keywords | load event recognition | |
| subject keywords | load events | |
| subject keywords | multiple load operations | |
| subject keywords | nonintrusive load monitoring identification process | |
| subject keywords | power spectrum | |
| subject keywords | turn-on-off transient signal identification | |
| subject keywords | wavelet transform coefficients | |
| subject keywords | Artificial neural networks | |
| subject keywords | Discrete wavelet | |
| identifier doi | 10.1109/TIA.2013.2283318 | |
| journal title | Industry Applications, IEEE Transactions on | |
| journal volume | 50 | |
| journal issue | 3 | |
| filesize | 752645 | |
| citations | 0 | |
