Power communication network traffic prediction based on two dimensional prediction algorithms

DOI

10.2991/iceeecs-16.2016.187How to use a DOI?

Keywords

network flow;horizontal prediction;vertical prediction;two dimensional flow prediction

Abstract

There is obvious periodic data flow curves of the power integrated service network based on the full use of historical data,this paper makes full use of the historical data, the horizontal and vertical dimensions are extracted from historical data. In this paper, a two dimensional flow forecasting method is proposed by studying the existing network traffic prediction model. In this method, a single exponential smoothing algorithm is used to calculate the horizontal and vertical predictions. it combines the advantages of the two dimensional prediction models, and can get better prediction accuracy than the existing prediction algorithms at the turning point.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Xiao
AU  - Xue Yang
AU  - Min Zhu
AU  - Lipeng Zhu
PY  - 2016/12
DA  - 2016/12
TI  - Power communication network traffic prediction based on two dimensional prediction algorithms
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 974
EP  - 980
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.187
DO  - 10.2991/iceeecs-16.2016.187
ID  - Xiao2016/12
ER  -