Research on Fault Early Warning Technology of Key Operation Nodes in Power Communication Network-Reference-Cited by-同舟云学术

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Research on Fault Early Warning Technology of Key Operation Nodes in Power Communication Network

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Energy Internet (ICEI)
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Author:

Shidanjie Dong¹,Yongsheng Zhao¹,Yan Jiang²,Chao Yang³

Affiliation:

1. State Grid Information and Communication Industry Group Co., Ltd.,Beijing 102200

2. Beijing CLP Flying Communications Co., Ltd,Beijing 102200

3. State Grid Liaoning Electric Power Company Information and Communication Branch,Shenyang,Liaoning 110000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9700978/9700993/09701014.pdf?arnumber=9701014

Reference6 articles.

1. Key node identification of wireless sensor networks based on cascade failure

2. Lea-TN: leader election algorithm considering node and link failures in a torus network

3. Comparing the performance of rigid, moldable and grid-shaped applications on failure-prone HPC platforms

4. Improving energy efficiency in LTE‐A networks with the reduction of failure rate in eNB components

5. A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

Cited by 1 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. Risk Early Warning of Power Systems With Partial State Observations Based on the Graph Attention Neural Network;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

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