Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM-Reference-Cited by-同舟云学术

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Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM

Published:2024-06 Issue:6 Volume:15 Page:102722
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Stefenon Stefano Frizzo^ORCID,Seman Laio Oriel^ORCID,Klaar Anne Carolina Rodrigues,Ovejero Raúl García^ORCID,Leithardt Valderi Reis Quietinho^ORCID

Publisher

Elsevier BV

Reference81 articles.

1. Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids;Seman;Int J Electr Power Energy Syst,2023

2. Wavelet LSTM for fault forecasting in electrical power grids;Branco;Sensors,2022

3. Electric field distribution of optimized composite insulator profiles under different pollution conditions;El-Refaie;Ain Shams Eng J,2018

4. Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models;Sopelsa Neto;Sensors,2022

5. Convolutional neural network bidirectional long short-term memory to online classify the distribution insulator leakage currents;Nguyen;Electr Power Syst Res,2022

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1. Improved YOLOv8-Based Target Precision Detection Algorithm for Train Wheel Tread Defects;Sensors;2024-05-28

2. Ensemble Learning Models for Wind Power Forecasting;Advances in Intelligent Systems and Computing;2024

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