Performance and Adaptability Testing of Machine Learning Models for Power Transmission Network Fault Diagnosis With Renewable Energy Sources Integration

Performance and Adaptability Testing of Machine Learning Models for Power Transmission Network Fault Diagnosis With Renewable Energy Sources Integration

Numerous research works establish the high efficacy of Machine Learning (ML) based power system fault diagnosis over conventional analytical methods. The ongoing integration of renewable energy sources (RES) into the existing transmission networks alters the system topology, potentially resulting in...

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Bibliographic Details
Main Authors: Rachna Vaish, Umakant Dhar Dwivedi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Transmission system fault localization
fault diagnosis
machine learning
renewable energy sources
Bayesian ridge regression
Online Access:https://ieeexplore.ieee.org/document/10589381/
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