Multi-Task Logistic Low-Ranked Dirty Model for Fault Detection in Power Distribution System
Author:
Funder
National Science Foundation
European Unions Horizon 2020
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
https://ieeexplore.ieee.org/ielam/5165411/8941148/8823979-aam.pdf
Cited by 18 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. The Total Transfer Capability Assessment of Transmission Interfaces Combining Causal Inference and Multi-Task Learning;IEEE Transactions on Power Systems;2024-01
2. Fault Detection Technique for Distribution Networks and Microgrids Using Synchrophasor Data;IEEE Transactions on Industry Applications;2023-11
3. Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units;Energies;2023-05-12
4. Machine Learning Approaches in Anomaly Type Detection and Localization in Distribution System;2023 IEEE PES GTD International Conference and Exposition (GTD);2023-05
5. A Novel Approach for Detecting and Analyzing the Shunt Fault in Electrical Power Distribution System (EPDS);Electric Power Components and Systems;2023-01-20
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