Weak Feature Fault Identification and Location of Distribution Network Based on Multi-Task Learning
Author:
Affiliation:
1. Anhui Electric Power CO. LTD. State Grid,Anhui,China
2. Electric Power Research Institute Anhui Power Grid Corporation,Anhui,China
3. School of Electrical Engineering Beijing Jiaotong University,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948700/9948714/09949495.pdf?arnumber=9949495
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1. Deep Forest Regression for Short-Term Load Forecasting of Power Systems
2. Detection method of high impedance grounding fault based on differential current of zero-sequence current projection and neutral point current in low-resistance grounding system;sheng;Electric Power Automation Equipment,2019
3. High impedance ground fault identification technology based on PSO and bayes classifier;weng;Electrical Measurement & Instrumentation,2020
4. Stacked Auto-Encoder-Based Fault Location in Distribution Network
5. Identification method of distribution network faults based on singular value of LCD-Hilbert spectrums and multilevel SVM;guo;High Voltage Engineering,2017
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