Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data

Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data

ABSTRACT Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. This study presents a comparative analysis of three advanced time‐series models like temporal convolutional networks (TCN), bidire...

Full description

Saved in:
Bibliographic Details
Main Authors: Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Energy Science & Engineering
Subjects:
bidirectional long short‐term memory
fault classification
gated recurrent unit
smart grid
temporal convolutional network
transmission lines
Online Access:https://doi.org/10.1002/ese3.70033
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/ese3.70033

Similar Items