LSTM-based Deep Learning Method for Excessive Neutral-to-ground Voltage (NTGV) Localization in Secondary Distribution Systems-Reference-Cited by-同舟云学术

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LSTM-based Deep Learning Method for Excessive Neutral-to-ground Voltage (NTGV) Localization in Secondary Distribution Systems

Published:2024-03-04 Issue: Volume: Page:361-366
ISSN:
Container-title:2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA)
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Author:

Mahadan Mohd Ezwan¹,Abidin Ahmad Farid²,Yusoh Mohd Abdul Talib Mat³,Ashar Nur Dalila Khirul⁴,Mustapa Rijalul Fahmi¹,Hairuddin Muhammad Asraf¹

Affiliation:

1. Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus,College of Engineering,Masai,Malaysia

2. Pusat Asasi Universiti Teknologi MARA Selangor Branch, Dengkil Campus,Dengkil,Malaysia

3. Universiti Teknologi MARA,College of Engineering,Shah Alam,Malaysia

4. Universiti Putra Malaysia,Faculty of Engineering,Department of Computer and Communication Systems,Serdang,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498129/10498123/10498326.pdf?arnumber=10498326

Reference17 articles.

1. Analysis of Multigrounded Four-Wire Distribution Systems Considering the Neutral Grounding

2. Power quality analysis of Residual Current Device [RCD] nuisance tripping at commercial buildings

4. Low-voltage power system surge overvoltage protection

5. Monitoring and remediation of on-farm and off-farm ground current measured as step potential on a Wisconsin dairy farm: A case study

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