Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract-Reference-Cited by-同舟云学术

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Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS)
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Author:

Barua Anomadarshi,Muthirayan Deepan,Khargonekar Pramod P.,Al Faruque Mohammad Abdullah

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9093723/9095978/09096053.pdf?arnumber=9096053

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3. Multi-granularity Robust Power Fault Prediction based on Cascaded Attention Network;2023 International Conference on Computer Applications Technology (CCAT);2023-09-15

4. A survey of anomaly detection methods for power grids;International Journal of Information Security;2023-07-08

5. A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems;Information;2023-02-07

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