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A Generalizable Method for Practical Non-Intrusive Load Monitoring via Metric-Based Meta-Learning

  • Published:2024-01 Issue:1 Volume:15 Page:1103-1115
  • ISSN:1949-3053
  • Container-title:IEEE Transactions on Smart Grid
  • language:
  • Short-container-title:IEEE Trans. Smart Grid

Author:

Luo Qingquan1ORCID,Yu Tao1ORCID,Lan Chaofan1,Huang Yi1,Wang Zihao1,Pan Zhenning1ORCID

Affiliation:

1. College of Electric Power, South China University of Technology, Guangzhou, China

Funder

Natural Science Foundation of China–Smart Grid Joint Fund of State Grid Corporation of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mobileception-ResNet for transient stability prediction of novel power systems;Energy;2024-09

2. A Few-Shot Learning Method for Nonintrusive Load Monitoring With V–I Trajectory Features;IEEE Sensors Journal;2024-04-01

3. A Generalizability-Enhancing Method for Load Identification Based on Typical Sample Replay;2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI);2023-12-15

4. Appliance-Incremental Learning for Non-Intrusive Load Monitoring;2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);2023-10-31

5. Few-Shot Mechanical Fault Diagnosis for a High-Voltage Circuit Breaker via a Transformer–Convolutional Neural Network and Metric Meta-Learning;IEEE Transactions on Instrumentation and Measurement;2023
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