Research and Implementation of Intelligent Recovery Technology for Fault Routing in Power Communication Networks Based on Deep Learning-Reference-Cited by-同舟云学术

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Research and Implementation of Intelligent Recovery Technology for Fault Routing in Power Communication Networks Based on Deep Learning

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Electrical Engineering and Control Science (IC2ECS)
language:
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Author:

Zhang Tai¹,Ding Chuanwen²,Chen Shaolei¹,Zhang Xiaolei¹,Guo Lin¹

Affiliation:

1. State Grid Corporation of China State Grid Sichuan Electric Power Company,Chengdu,Sichuan,P. R. China

2. State Grid Corporation of China NARI Group Corporation/State Grid Electric Power Research Institute,Nanjing,Jiangsu,P. R. China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10087340/10087898/10087907.pdf?arnumber=10087907

Reference12 articles.

1. Performance evaluation of AODV, DSDV & DSR routing protocol in grid environment[J];usop;IJCSNS International Journal of Computer Science and Network Security,2009

2. Multigate Communication Network for Smart Grid

3. A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks

4. Comparison of two routing metrics in OLSR on a grid based mesh network

5. Load balancing-based routing optimization mechanism for power communication networks

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