Author

Hu-Cheng Li

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Open access Sep 2026

Voltage sags state estimating in weakly metered power grid with improved Monte Carlo simulation and data-driven LS-SVM modeling

A voltage sags state estimating in weakly metered power grid is proposed with Monte Carlo simulation and data-driven least squares support vector machine (LS-SVM) modeling to provide effective support for wide-area monitoring and management of voltage sags in complex distribution grids with sparse metering.

Xian Zheng, Hong-Jin Pan, Ming-Ming Shi et al. · Engineering Research Express · 0 citations

Open access Aug 2026

Network Dynamic Spatiotemporal Dispatch Based on Multi-Head Graph Attention Reinforcement Learning and Balanced Responsibility

The rapid integration of distributed renewable energy and flexible loads significantly intensifies supply and demand uncertainty in active distribution networks (ADNs), threatening economic and secure grid operations. Existing deep reinforcement learning (DRL) dispatch methods fail to extract spatial features properly,...

Hu-Cheng Li, Li-Fei Sun, Haifeng Fan et al. · Electronics · 0 citations