Trend-Based Time Series Prediction Algorithm

Xin Qi; Hong Liang; Zhen Li

doi:10.4028/www.scientific.net/AMR.108-111.1164

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Trend-Based Time Series Prediction Algorithm

Trend-Based Time Series Prediction Algorithm

Abstract:

According to the resources performance and status information provided by grid monitoring system, this paper adopts a trend-based time series prediction algorithm to predict short-term performance of the resources. Experiments show that the improved mixed trend-based prediction algorithm tracks the trend of data changes by giving more weight, simultaneously takes the different situations of data increases and decreases into account, so the improved algorithm is superior to the pre-improved and it improves the accuracy of the prediction effectively.

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Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

1164-1169

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.1164

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Online since:

May 2010

Authors:

Xin Qi, Hong Liang, Zhen Li

Keywords:

Grid Monitoring, Time Prediction, Trend

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