Anomaly Detection and Prediction Based on Holt-Winters Method

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

Abstract


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.


Keywords


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

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References


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DOI: https://doi.org/10.18686/esta.v9i3.281

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