2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.SY2026★ 2 cited
Adaptive Spatial-Temporal Graph Learning-Enabled Short-Term Voltage Stability Assessment against Time-Varying Topological Conditions
Chao Deng, Lipeng Zhu, Chang Liu +5
The emerging deep learning (DL) technology has recently exhibited great potential in data-driven short-term voltage stability (SVS) assessment of complex power grids. However, with…
cs.CL2026
Lightweight Multimodal LLM-Enabled Cost-Effective Defect Grading of Power Transmission Equipment
Tao Wang, Lipeng Zhu, Jiayong Li +2
Defect grading of power transmission equipment (DGPTE) is crucial to the stability of electric energy transmission. Although existing machine learning methods exhibit strong capabi…
eess.SP2025
Three-Stage Composite Outlier Identification of Wind Power Data: Integrating Physical Rules with Regression Learning and Mathematical Morphology
Limengqian Zheng, Lipeng Zhu, Weijia Wen +2
Existing studies on identifying outliers in wind speed-power datasets are often challenged by the complicated and irregular distributions of outliers, especially those being densel…