Data-Driven Fault Detection of Power Distribution Network Based on Temporal Convolutional Network and Long Short-Term Memory-Reference-Cited by-同舟云学术

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Data-Driven Fault Detection of Power Distribution Network Based on Temporal Convolutional Network and Long Short-Term Memory

Published:2023-11-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
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Author:

Lu Ming¹,Feng Guang²,Huang Suhui³,Liu Shanfeng¹,Xiang Ling³,Su Hao³

Affiliation:

1. State Grid Henan Electric Power Research Institute, Internet Center,Henan Province,China

2. State Grid Henan Electric Power Research Institute, Equipment Status Evaluation Center,Henan Province,China

3. North China Electric Power University, School of Energy, Power and Mechanical Engineering,Henan Province,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490445/10490449/10490605.pdf?arnumber=10490605

Reference28 articles.

1. Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming

2. Distribution Network Reconfiguration Using Hybrid Optimization Technique

3. Effect of Load on Transient Performance of Unearthed and Compensated Distribution Networks

4. Comprehensive evaluation of 5G+ smart distribution network based on combined weighting method-cloud model

5. Active power control strategy of DFIGs in flexible interconnected distribution network

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