Anomaly Detection and Prediction Based on Holt-Winters Method

  • Zhuofan Zhong Hangzhou Normal University
  • Huiqi Fan Hangzhou Normal University
  • Sijia Fan Hangzhou Normal University
  • Zihan Wang Hangzhou Normal University
  • Yuchen Wang Hangzhou Normal University
Article ID: 564
304 Views, 22 PDF Downloads
DOI: https://doi.org/10.18282/ii.v4i2.564
Keywords: Anomaly Detection, Holt-Winters Method, Boxplot Box Diagram, Anomaly Prophet Prediction

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.

Published
2023-07-05
How to Cite
Zhong, Z., Fan, H., Fan, S., Wang, Z., & Wang, Y. (2023). Anomaly Detection and Prediction Based on Holt-Winters Method. Insight - Information, 5(1), 564. https://doi.org/10.18282/ii.v4i2.564
Issue
Vol. 5 No. 1 (2023)
Section
Article

Copyright (c) 2023 Author(s)

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