A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring

As one of the most important smart grid features, non-intrusive load monitoring (NILM) has become a practical technology for identifying the users' energy consumption behavior. The conventional studies are usually based on the assumption that only one appliance is active or the signature databa...

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Bibliographic Details
Published in:	IEEE transactions on network science and engineering Vol. 9; no. 2; pp. 755 - 768
Main Authors:	Liu, Yinyan, Qiu, Jing, Lu, Junda, Wang, Wei, Ma, Jin
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Coders Convolution Electrical loads Encoder-Decoder Neural Network Encoders-Decoders Energy consumption Energy Disaggregation Feature extraction Home appliances Load modeling Load monitoring Machine learning Monitoring Network latency Non-intrusive Load Monitoring Signal processing Smart grid Speech recognition State Detection Target detection Training
ISSN:	2327-4697, 2334-329X
Online Access:	Get full text
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