Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization-Reference-Cited by-同舟云学术

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Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization

Published:2020 Issue: Volume:8 Page:75060-75072
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Taveira Paulo Ricardo Zambelli,De Moraes Carlos Henrique Valerio,Lambert-Torres Germano^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09069195.pdf?arnumber=9069195

Cited by 24 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. A real-time early warning classification method for natural gas leakage based on random forest;Reliability Engineering & System Safety;2024-11

2. Low-Frequency Non-intrusive Load Identification Based on Two-Stage Event Detection Method;Arabian Journal for Science and Engineering;2024-07-23

3. Low-Frequency Load Identification Using CNN-BiLSTM Attention Mechanism;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

4. Research on non-intrusive load identification method based on multi-feature fusion with improved shufflenetv2;Measurement Science and Technology;2024-04-08

5. Regularized NCA based Prominent Feature Selection for Load Identification Using Boosted Tree Classifier;2024-03-27

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