Anomaly Detection in Smart Grids using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Anomaly Detection in Smart Grids using Machine Learning Techniques

Published:2020-01 Issue: Volume: Page:
ISSN:
Container-title:2020 First International Conference on Power, Control and Computing Technologies (ICPC2T)
language:
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Author:

Panthi Manikant

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9051868/9071428/09071434.pdf?arnumber=9071434

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kalman reinforcement learning-based provably secured smart grid false data intrusion detection and resilience enhancement;Electrical Engineering;2024-08-25

2. Leveraging the power of machine learning and data balancing techniques to evaluate stability in smart grids;Engineering Applications of Artificial Intelligence;2024-07

3. Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks;Computers & Industrial Engineering;2024-07

4. Anomaly Detection System for Solar Power Distribution Panels utilizing Thermal Images;Journal of information and communication convergence engineering;2024-06-30

5. A Comprehensive Survey on Enabling Techniques in Secure and Resilient Smart Grids;Electronics;2024-06-03

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