Fault Classification Using Hybrid FCN-BiLSTM Model in Grid Integrated with Distributed Generators
Author:
Affiliation:
1. National Institute of Technology, Raipur,Electrical Engineering Department,Raipur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515975.pdf?arnumber=10515975
Reference18 articles.
1. Fault Detection on a 132kV Transmission Line Using Artificial Neural Network
2. A new approach for machine learning-based fault detection and classification in power systems
3. A New Approach for Fault Classification in Microgrids Using Optimal Wavelet Functions Matching Pursuit
4. Overview of electrical protection requirements for integration of a smart DC node with bidirectional electric vehicle charging stations into existing AC and DC railway grids
5. Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy
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