Machine Leaning Algorithms and Time Series Feature Extraction Library for Electricity Consumption Fraud Detection in Smart Grids-Reference-Cited by-同舟云学术

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Machine Leaning Algorithms and Time Series Feature Extraction Library for Electricity Consumption Fraud Detection in Smart Grids

Published:2021-10-20 Issue: Volume: Page:
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Container-title:2021 25th International Conference on System Theory, Control and Computing (ICSTCC)
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Author:

Oprea Simona-Vasilica,Bara Adela,Ene Gabriela Dobrita

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9607028/9606851/09607308.pdf?arnumber=9607308

Cited by 2 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. A Review on Cyber Security and Anomaly Detection Perspectives of Smart Grid;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23

2. Anomaly Detection in Smart Grids: A Survey From Cybersecurity Perspective;2022 3rd International Conference on Smart Grid and Renewable Energy (SGRE);2022-03-20

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