Anomaly Detection and Prediction Based on Holt-Winters Method
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.
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Copyright (c) 2022 Zhuofan Zhong, Huiqi Fan, Sijia Fan, Zihan Wang, Yuchen Wang
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