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Random Forest and Transformer-Based Transient Stability Assessment of Power Systems Under Sample Imbalance Conditions

Artificial intelligence technologies provide efficient technical support for transient stability assessment (TSA) in power systems. However, the accuracy of TSA is severely affected by two issues: the scarcity of unstable samples in practical power grids and the insufficient learning capability of m...

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Principais autores: Pengfei Song, Shuolin Zhang, Jiongcheng Yan, Pengpeng Kang, Wenhui Zhai, Changgang Li
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2026-01-01
coleção:IEEE Access
Assuntos:
Transient stability assessment
Transformer
sample imbalance
random forest
attention mechanism
Acesso em linha:https://ieeexplore.ieee.org/document/11372728/
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