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Article
License: CC BY NC
Data sources: UnpayWall
https://doi.org/10.2991/iccsae...
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Research on the trend forecasting model of power communication network operation

Authors: Hai-yang Wu; Jian Shi;

Research on the trend forecasting model of power communication network operation

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold