3 papers
eess.SY2025
Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints
Yuqi Zhou, Joseph Severino, Sanjana Vijayshankar +2
Timely and effective load shedding in power systems is critical for maintaining supply-demand balance and preventing cascading blackouts. To eliminate load shedding bias against sp…
cs.LG2025
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
Yuqi Zhou, Hao Zhu
Prompt and effective corrective actions in response to unexpected contingencies are crucial for improving power system resilience and preventing cascading blackouts. The optimal lo…
eess.SY2024
Machine Learning-Assisted Distribution System Network Reconfiguration Problem
Richard Asiamah, Yuqi Zhou, Ahmed S. Zamzam
High penetration from volatile renewable energy resources in the grid and the varying nature of loads raise the need for frequent line switching to ensure the efficient operation o…