NILM-LANN: A Lightweight Attention-based Neural Network in Non-Intrusive Load Monitoring-Reference-Cited by-同舟云学术

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NILM-LANN: A Lightweight Attention-based Neural Network in Non-Intrusive Load Monitoring

Published:2024-05-08 Issue: Volume: Page:181-186
ISSN:
Container-title:2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Lei Yanjing¹,Feng Zehui¹,Lin Xiangqing¹,Cao Di¹,Zhang Jiakai¹

Affiliation:

1. Zhejiang University of Technology,School of Computer Science and Technology,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580201.pdf?arnumber=10580201

Reference19 articles.

1. Non-Intrusive Load Monitoring: A Review

2. Review on Deep Neural Networks Applied to Low-Frequency NILM

3. Pre-trained Models for Non-intrusive Appliance Load Monitoring

4. Nonintrusive Load Monitoring Using an LSTM With Feedback Structure

5. Non-Intrusive Load Monitoring Using a CNN-LSTM-RF Model Considering Label Correlation and Class-Imbalance

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