Detection algorithm for anomaly sub-sequences in energy consumption data stream-Reference-Cited by-同舟云学术

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Detection algorithm for anomaly sub-sequences in energy consumption data stream

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Mechanisms and Robotics (ICMAR 2022)
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Author:

Ye Zhihui,Qian Jie,Wang Wenjuan,Hu Xiaohu

Publisher

SPIE

Reference12 articles.

1. Architecture and application of cyber physical system for integrated energy system;Du;Electric Power Construction,2020

2. Study and practice of city logistics transport control system based on CPS;Xu;East China Normal University,2016

3. Design of integrated energy monitoring and management system of Yanji cigarette factory;Li;Jilin University,2017

4. Real-time big data processing for anomaly detection: A Survey;Habeeba,2019

5. Survey on monitoring techniques for data abnormalities;WU;Computer Science,2017

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