Good Papers

Showing papers from State Grid Henan Electric Power Company (China) Show all papers

65%Highly rated
?Highly ratedVote to see the score
International Conference on Optical Communications and Networks (ICOCN) 2024State Grid Corporation of ChinaState Grid Henan Electric Power ZhengzhouMachine translation

Intent-Driven Routing Algorithm Based on LSTM in Power Backbone Networks

LSTM-CRF model improves intent translation routing accuracy in power backbone networks.

Wu Lijie, Jingfeng Wang, Yan Liu, Chunying Wang and 2 more

Published Jul 26, 2024 · 0 citations

– Readers
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
57%Worth a look
?Worth a lookVote to see the score
International Conference on Optical Communications and Networks (ICOCN) 2024State Grid Corporation of ChinaState Grid Henan Electric Power ZhengzhouAnomaly detection

Failure Prediction Based on Deep Neural Networks in Power Backbone Networks

A deep neural network predicts power backbone network faults with higher accuracy than several comparison methods.

Fajia Ji, Hailong Wu, Chunying Wang, Sheng Lei and 5 more

Published Jul 26, 2024 · 0 citations

– Readers
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
International Conference on Optical Communications and Networks (ICOCN) 2024State Grid Corporation of ChinaState Grid Henan Electric Power ZhengzhouKnowledge graphs

Fault Diagnosis for Power Backbone Networks based on Graph-Gated Knowledge Graph

A graph-gated knowledge graph improves fault diagnosis accuracy in backbone transmission networks.

Chunying Wang, Zhilei Wang, Lijie Wu, Yan Liu and 2 more

Published Jul 26, 2024 · 0 citations

– Readers
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5