most citedDeep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance

170 citations · 170 across the 2 of their papers we have counts for

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eess.SY2025

QSTAformer: A Quantum-Enhanced Transformer for Robust Short-Term Voltage Stability Assessment against Adversarial Attacks

Yang Li, Chong Ma, Yuanzheng Li +3

Short-term voltage stability assessment (STVSA) is critical for secure power system operation. While classical machine learning-based methods have demonstrated strong performance,…

eess.SY2023★ 170 cited

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance

Yang Li, Jiting Cao, Yan Xu +2

Most existing data-driven power system short-term voltage stability assessment (STVSA) approaches presume class-balanced input data. However, in practical applications, the occurre…