A process level network traffic prediction algorithm based on ARIMA model in smart substation-Reference-Cited by-同舟云学术

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A process level network traffic prediction algorithm based on ARIMA model in smart substation

Published:2013-08 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013)
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Author:

Wang Jin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6648511/6663867/06663896.pdf?arnumber=6663896

Cited by 14 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. Spatio-Temporal Hypergraph Convolutional Network Based Network Traffic Prediction;International Conference on Computing, Machine Learning and Data Science;2024-04-12

2. Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and “what-if” Analysis;IEEE Access;2024

3. Traffic-Driven Proactive Slot Orchestration in an Optical Network with Fine-Granularity Flexible Ethernet Interfaces;Applied Sciences;2023-10-17

4. TLS-Net: A Hybrid Time Series Prediction Model Combining TCN and LSTM for Ship-Satellite Network Traffic;2023 7th International Conference on Transportation Information and Safety (ICTIS);2023-08-04

5. Network traffic prediction model based on improved VMD and PSO‐ELM;International Journal of Communication Systems;2023-02-16

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