Non-Intrusive Load Monitoring Based on Advanced-Boosting Algorithm-Reference-Cited by-同舟云学术

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Non-Intrusive Load Monitoring Based on Advanced-Boosting Algorithm

Published:2022-11-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)
language:
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Author:

Ismail Harun¹,Sujanarko Bambang²,Utomo Satrio Budi²,Yang Nien-Che¹,Elsisi Mahmoud³,Widiyanto Syam⁴,Haq Avip Zain²

Affiliation:

1. National Taiwan University of Science and Technology,Department of Electrical Engineering,Taipei,Taiwan, ROC

2. University of Jember,Department of Electrical Engineering,Jember,Indonesia

3. National Kaohsiung University of Science and Technology,Department of Electrical Engineering,Kaohsiung,Taiwan, ROC

4. Universitas Gajah Mada,Departtment of System Engineering,Yogyakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030082/10030090/10030672.pdf?arnumber=10030672

Reference25 articles.

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

2. NILM Dashboard: A Power System Monitor for Electromechanical Equipment Diagnostics

3. Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks

4. Disaggregating Transform Learning for Non-Intrusive Load Monitoring

5. DeepDFML-NILM: A New CNN-Based Architecture for Detection, Feature Extraction and Multi-Label Classification in NILM Signals

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