Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams

Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams

<p dir="ltr">Transient instability poses a critical challenge to the reliable operation of modern power systems (PSs), often leading to large-scale blackouts. Despite the success of data-driven transient stability assessment (TSA), its practical implementation remains limited by chal...

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Bibliographic Details
Main Author: Mohamed Massaoudi (16888710) (author)
Other Authors: Maymouna Ez Eddin (21633650) (author), Haitham Abu-Rub (16855500) (author), Ali Ghrayeb (16864266) (author), Katherine R. Davis (20462726) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Data management and data science
Machine learning
Concept drift (CD)
data stream
federated learning (FL)
smart cyber–physical grids
transient stability assessment (TSA)
Stability criteria
Transient analysis
Power system stability
Adaptation models
Streams
Vectors
Real-time systems
Generators
Random forests
Data privacy
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