Anomaly Detection in Power Markets and Systems-Reference-Cited by-同舟云学术

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Anomaly Detection in Power Markets and Systems

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Power & Energy Society General Meeting (PESGM)
language:
Short-container-title:

Author:

Halden Ugur¹,Cali Umit¹,Catak Ferhat Ozgur²,D’Arco Salvatore³,Bilendo Francisco⁴

Affiliation:

1. Norwegian University of Science and Technology,Høgskoleringen 1,Trondheim,Norway,7491

2. University of Stavanger, Kjell Arholms gate 41,Stavanger,Norway,4021

3. Sem Sælands vei 11,Sintef Energy Research,Trondheim,Norway,7034

4. Nanjing University of Aeronautics and Astronautics,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252165/10252088/10252380.pdf?arnumber=10252380

Reference31 articles.

1. Machine Learning for PV System Operational Fault Analysis: Literature Review

2. Denial-of-Service (dos) attacks on load frequency control in smart grids

3. An Intelligent Fault Detection Model for Fault Detection in Photovoltaic Systems

4. A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants

5. Scenario Analysis and Anomaly Detection of Locational Marginal Price in Electricity Market

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. Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity;Artificial Intelligence Review;2024-06-21

2. Reviewing 40 years of artificial intelligence applied to power systems – A taxonomic perspective;Energy and AI;2024-01

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