Power network fault identification based on deep reinforcement learning
Author:
Publisher
Power System Technology Press
Subject
Electrical and Electronic Engineering,General Energy,Electronic, Optical and Magnetic Materials
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data-Driven Fault Detection of Multiple Open-Circuit Faults for MMC Systems Based on Long Short-Term Memory Networks;CSEE J POWER ENERGY;2024
2. Hybrid Approach for Detection and Diagnosis of Short-Circuit Faults in Power Transmission Lines;Energies;2024-05-01
3. A Novel Machine Learning-Based Approach for Fault Detection and Location in Low-Voltage DC Microgrids;Sustainability;2024-03-28
4. Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires;CSEE Journal of Power and Energy Systems;2024
5. Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control;CSEE Journal of Power and Energy Systems;2024
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