Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-Intrusive Load Monitoring-Reference-Cited by-同舟云学术

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Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-Intrusive Load Monitoring

Published:2024-09 Issue:5 Volume:15 Page:4861-4876
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Ding Dong¹^ORCID,Li Junhuai²^ORCID,Wang Huaijun²^ORCID,Wang Kan²^ORCID

Affiliation:

1. School of Electrical Engineering, Xi’an University of Technology, Xi’an, China

2. School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165411/10643567/10504869.pdf?arnumber=10504869

Reference44 articles.

1. Unsupervised Domain Adaptation for Nonintrusive Load Monitoring Via Adversarial and Joint Adaptation Network

2. Transfer Learning for Non-Intrusive Load Monitoring

3. Meta-Transfer Learning Through Hard Tasks

4. Attribute-Based Classification for Zero-Shot Visual Object Categorization

5. Towards Zero-Shot Sign Language Recognition

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