A novel prediction model of grounding resistance based on long short-term memory

A novel prediction model of grounding resistance based on long short-term memory

This study aims to investigate the use of Long Short-Term Memory (LSTM) models for predicting temporal variations in grounding resistance using time series data. This analysis is the first to apply LSTM models to grounding resistance prediction, utilizing experimental data, including soil resistivit...

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Bibliographic Details
Main Authors:	Xinghai Pu, Jing Zhang, Fei Wang, Shuai Xue
Format:	Article
Language:	English
Published:	AIP Publishing LLC 2025-01-01
Series:	AIP Advances
Online Access:	http://dx.doi.org/10.1063/5.0248514
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