Anomaly Detection and Prediction Based on Holt-Winters Method

Zhuofan Zhong, Huiqi Fan, Sijia Fan, Zihan Wang, Yuchen Wang


Outliers, detection and prediction of abnormal periods, and prediction of trends in a given time base on existing data are the first problems to be solved in intelligent operation and maintenance. This paper took KPI performance index of 58 cells covered by 5 base stations from August 28 to September 25, 2021 as research data, chose 3 indexes (average number of users, PDCP traffic and average activation number), established a set of outlier prediction system based on Holt-Winters method.


Anomaly Detection; Holt-Winters Method; Boxplot Box Diagram; Anomaly Prophet Prediction

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"Natural Gas load forecasting based on Holt-Winters Model", Technology and Market, No. 07, 2020, Hu Kai 23.

"Analysis and Application of time Series Prediction based on Holt-Winters in big data Monitoring." computer and Modernization, No.11, 2019, Wang Yufei, du Tiancang, p. 5.

Prediction of hospitalization based on Holt-winters exponential smoothing method. Chinese Medical Records, No. 09, 2018, Zhou Mengjun, pp. 52-53.

BlackEyes_SGC, outlier detection algorithm for data u011204487/article/details/105731065, October 30th, 2021.



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