Feature Selection for Precise Anomaly Detection in Substation Automation Systems-Reference-Cited by-同舟云学术

Feature Selection for Precise Anomaly Detection in Substation Automation Systems

Published:2021-11-21 Issue: Volume: Page:
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Container-title:2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)
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Author:

Wang Xuelei¹,Fidge Colin¹,Nourbakhsh Ghavameddin²,Foo Ernest³,Jadidi Zahra¹,Li Calvin⁴

Affiliation:

1. School of Computer Science, Queensland University of Technology,Brisbane,Australia

2. School of Electrical Engineering and Robotics, Queensland University of Technology,Brisbane,Australia

3. School of Information and Communication Technology, Griffith University,Brisbane,Australia

4. Asset & Operations Jemena,Sydney,Australia

Publisher

IEEE

Link

Reference20 articles.

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