Machine Learning Based Techniques for Fault Detection in Power Distribution Grid: A Review
Author:
Affiliation:
1. Afe Babalola University,Department of Electrical/Electronics and Computer Engineering,Ado Ekiti,Nigeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9971790/9972246/09972279.pdf?arnumber=9972279
Reference32 articles.
1. Deep learning approaches for fault detection and classifications in the electrical secondary distribution network: Methods comparison and recurrent neural network accuracy comparison
2. A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids
3. Fault Identification, Classification, and Location on Transmission Lines Using Combined Machine Learning Methods
4. Development of Internet of Things (IoT) Based Energy Consumption Monitoring and Device Control System
5. Fault Signal Recognition in Power Distribution System using Deep Belief Network
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4. Analysis of Power Quality and Technical Challenges in Grid-Tied Renewable Energy;WSEAS TRANSACTIONS ON POWER SYSTEMS;2023-11-20
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