Machine learning for power system stability and control

Machine learning for power system stability and control

Applying machine Learning (ML) techniques to power system control and stability has become a game-changing strategy for dealing with the increasing complexity of contemporary electrical grids. This review paper demonstrates how machine learning approaches can stabilize and manage three different pow...

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Bibliographic Details
Main Authors: Rakibul Islam, Mir Araf Hossain Rivin, Sharmin Sultana, MD Amaddus Bepary Asif, Mahathir Mohammad, Mustafizur Rahaman
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Machine learning
Power system
Control system
Data-driven
Artificial neural networks
Power system security
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025014252
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