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An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities

  • Chee Keong WeeEmail author
  • Richi Nayak
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 996)

Abstract

This paper proposes a novel method that can reduce the volume of time series data adaptively and provide an alternate means in handling time series symbolically which can be used for time series’ classification or anomaly detection. The proposed method is tested using the time series data obtained from utility companies’ substations by comparing the compressed outputs to the original forms. The result is a new discretized set that is lower in volume and can represent the time series succinctly with a minimal loss that can be managed.

Keywords

Time series compression Time series representation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Science and Engineering FacultyQueensland University of TechnologyBrisbaneAustralia

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