Research on the trend forecasting model of power communication network operation

DOI

10.2991/iccsae-15.2016.69How to use a DOI?

Keywords

Power transmission network; trend forecast; Performance characteristic

Abstract

This paper deeply studied the performance data of the power transmission network, selected indicators parameter in the characterization of the running state of the network. By analyzing the factors that affect the time series, a trend forecasting algorithm of network performance based on time series decomposition is constructed. It can make quantitative estimation for the future development trend of communication network. The model and algorithm of the paper are verified by the actual performance data. The results show that the forecast value is in good agreement with the actual monitoring data, and it has good practicability, which can provide technical support and judgment basis for the pre-warning of power communication network.

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  - Jian Shi
AU  - Hai-yang Wu
PY  - 2016/02
DA  - 2016/02
TI  - Research on the trend forecasting model of power communication network operation
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 358
EP  - 363
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.69
DO  - 10.2991/iccsae-15.2016.69
ID  - Shi2016/02
ER  -