Critical scenarios identification in power system simulations using graph measures and machine learning-Reference-Cited by-同舟云学术

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Critical scenarios identification in power system simulations using graph measures and machine learning

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
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Author:

Reyes Angie¹,Salgueiro Yamisleydi²,Rivera Marco³,Camargo Jorge⁴,Hernandez Andres⁵,Wheeler Patrick⁶

Affiliation:

1. Ciencia Aplicada de la Universidad Antonio Nariño,Colombia

2. Universidad de Talca,Departamento de Ciencias de la Computación en la Facultad de Ingeniería de la,Curicó,Chile

3. Universidad de Talca,Departamento de Ingeniería Eléctrica en la Facultad de Ingeniería de la,Curicó,Chile

4. Universidad Antonio Nariño,Facultad de Ingeniería de Sistemas y Computación de la,Colombia

5. Universidad Antonio Nariño,Centro de Investigaciones en Ciencias Básicas y Aplicadas (CICBA) de la,Colombia

6. University of Nottingham,Nottingham,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9702895/9702885/09703001.pdf?arnumber=9703001

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. Methodology for Transient Stability Enhancement of Power Systems Based on Machine Learning Algorithms and Fast Valving in a Steam Turbine;Mathematics;2024-05-24

2. Applications of Machine Learning in Power Electronics: A Specialization on Convolutional Neural Networks;ENG Transactions;2023

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