A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system-Reference-Cited by-同舟云学术

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A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)
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Author:

Robles-Durazno Andres,Moradpoor Naghmeh,McWhinnie James,Russell Gordon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8537418/8560662/08560683.pdf?arnumber=8560683

Cited by 19 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

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2. Research on Machine Learning-Based Advanced Semantic Mapping Model for Substations and Security Alert Disposition;2024 10th IEEE International Conference on Intelligent Data and Security (IDS);2024-05-10

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4. A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid;IEEE Access;2024

5. Artificial Intelligence Techniques Based Energy Prediction Analysis and Load Forecasting Using a Dynamic Website;2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM);2023-12-18

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