Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring-Reference-Cited by-同舟云学术

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Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Su Yongxin¹^ORCID,Peng Haotian²^ORCID,Tan Mao²^ORCID,Chen Jie²^ORCID

Affiliation:

1. School of Automation and Electronic Information and Hunan Engineering Research Center of Multi-Energy Cooperative Control Technology, Xiangtan University, Xiangtan, China

2. School of Automation and Electronic Information, Xiangtan University, Xiangtan, China

Funder

Key Project of Scientific Research Fund of Hunan Provincial Education Department

National Key Research and Development Program of China

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10475568.pdf?arnumber=10475568

Reference34 articles.

1. Transformer for Nonintrusive Load Monitoring: Complexity Reduction and Transferability

2. Disaggregated End-Use Energy Sensing for the Smart Grid

3. Deep learning in electrical utility industry: A comprehensive review of a decade of research

4. Is disaggregation the holy grail of energy efficiency? The case of electricity

5. Attention-Based Multitask Probabilistic Network for Nonintrusive Appliance Load Monitoring

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