Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Graph Neural Networks for Fault Localization in Power Grids: A Leakage-Free Benchmark

Domaine:

environment and energydigital infrastructure

Type de record:

paper
Créateur:
wor
Éditeur:
Zenodo
Hôte:avatar
Reproduction package for the manuscript: K. T. Worou, A. Guénoukpati, A. A. Salami, *"Graph neural networks for fault localization in power grids: a leakage-free benchmark with feature ablation and real-network validation"*, submitted to The International Journal of Electrical Power & Energy Systems (IJEPES) (2026).Regional Centre of Excellence for Electricity Management (CERME),Université de Lomé, Togo.

Visit

doi.org

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

A deep learning-driven traveling wave method for GPS-free and noise-resilient fault location in compensated power networksOrbit-Equivariant Graph Neural NetworksModelling flow dynamics in water distribution networks using artificial neural networks - A leakage detection techniqueDeveloping a Neural Network Based Fault Prediction Tool for a Solar Power Plant in UgandaArabic fake news detection using graph neural networks with heterogeneous graphGraph Neural Networks for Time Series Forecasting on Ghana Stock Exchange

A deep learning-driven traveling wave method for GPS-free and noise-resilient fault location in compensated power networks

This paper introduces a novel hybrid fault location technique for high-voltage transmission lines, i

Orbit-Equivariant Graph Neural Networks

Orbit-Equivariant Graph Neural Networks

Poster presented at the Deep Learning Indaba 2023 by Matthew Morris

Modelling flow dynamics in water distribution networks using artificial neural networks - A leakage detection technique

Computational approaches can be used to detect leakages in water distribution networks. One such app

Developing a Neural Network Based Fault Prediction Tool for a Solar Power Plant in Uganda

Solar photovoltaic (PV) systems are one of the fastest growing renewable energy technologies and ple

Arabic fake news detection using graph neural networks with heterogeneous graph

Detecting and fighting fake news is vital in the digital age, preventing the dissemination of false

Graph Neural Networks for Time Series Forecasting on Ghana Stock Exchange

Forecasting stock prices in emerging markets is challenging due to market inefficiencies, low liquid