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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mohamed Massaoudi (16888710) (author)
مؤلفون آخرون:	Maymouna Ez Eddin (21633650) (author), Haitham Abu-Rub (16855500) (author), Ali Ghrayeb (16864266) (author), Katherine R. Davis (20462726) (author)
منشور في:	2025
الموضوعات:	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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Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams

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