6 papers
Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization
Shuyi Chen, Shixiang Zhu, Ramteen Sioshansi
Wildfire risk poses a growing challenge for electric utilities, as powerline failures can ignite wildfires while large fires can disrupt grid operations. Utilities increasingly rel…
Learning Polyhedral Conformal Sets for Robust Optimization
Shuyi Chen, Wenbin Zhou, Shixiang Zhu
Robust optimization (RO) provides a principled framework for decision-making under uncertainty, but its performance critically depends on the choice of the uncertainty set. While l…
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
Prince Zizhuang Wang, Shuyi Chen, Jinhao Liang +2
Decision-focused learning (DFL) integrates predictive models with downstream optimization, directly training machine learning models to minimize decision errors. While DFL has been…
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
Shuyi Chen, Ferdinando Fioretto, Feng Qiu +1
Extreme hazard events such as wildfires and hurricanes increasingly threaten power systems, causing widespread outages and disrupting critical services. Recently, predict-then-opti…
Enhancing Electricity-System Resilience with Adaptive Robust Optimization and Conformal Uncertainty Characterization
Shuyi Chen, Shixiang Zhu, Ramteen Sioshansi
Extreme weather is straining electricity systems, exposing the limitations of reactive responses, and prompting the need for proactive resilience planning. Most existing approaches…
Counterfactual Fairness through Transforming Data Orthogonal to Bias
Shuyi Chen, Shixiang Zhu
Machine learning models have shown exceptional prowess in solving complex issues across various domains. However, these models can sometimes exhibit biased decision-making, resulti…