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Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification

contributor authorHsueh-Hsien Chang
contributor authorKuo-Lung Lian
contributor authorYi-Ching Su
contributor authorWei-Jen Lee
date accessioned2020-03-12T18:28:40Z
date available2020-03-12T18:28:40Z
date issued2014
identifier issn0093-9994
identifier other6607153.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/959820?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titlePower-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitoring and Load Identification
typeJournal Paper
contenttypeMetadata Only
identifier padid7992429
subject keywordsbackpropagation
subject keywordsload (electric)
subject keywordspower engineering computing
subject keywordspower system identification
subject keywordspower system measurement
subject keywordswavelet transforms
subject keywordsParseval'
subject keywordss theorem
subject keywordsWTC
subject keywordsartificial neural network construction
subject keywordsbackpropagation classification system
subject keywordsload event recognition
subject keywordsload events
subject keywordsmultiple load operations
subject keywordsnonintrusive load monitoring identification process
subject keywordspower spectrum
subject keywordsturn-on-off transient signal identification
subject keywordswavelet transform coefficients
subject keywordsArtificial neural networks
subject keywordsDiscrete wavelet
identifier doi10.1109/TIA.2013.2283318
journal titleIndustry Applications, IEEE Transactions on
journal volume50
journal issue3
filesize752645
citations0


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