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

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

The excessive neutral-to-ground voltage (NTGV) on the secondary distribution system (SDS) may lead to unnecessary losses and safety hazards. Methods for troubleshooting and monitoring the root cause of these issues are limited. This paper introduces a deep learning (DL) method that utilizes real-wor...

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Bibliographic Details
Published in:	2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
Main Author:	Mahadan M.E.; Abidin A.F.; Yusoh M.A.T.M.; Ashar N.D.K.; Mustapa R.F.; Hairuddin M.A.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191746184&doi=10.1109%2fICPEA60617.2024.10498326&partnerID=40&md5=043bd1bbcad40f7c33345408c777e187

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