Fast and Reliable Contingency Screening with Input-Convex Neural Networks
Power system operators must ensure that dispatch decisions remain feasible in case of grid
outages or contingencies to prevent cascading failures and ensure reliable operation …
outages or contingencies to prevent cascading failures and ensure reliable operation …
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
A fundamental question in data-driven decision making is how to quantify the uncertainty of
predictions in ways that can usefully inform downstream action. This interface between …
predictions in ways that can usefully inform downstream action. This interface between …
Uncertainty-Aware Capacity Expansion for Real-World DER Deployment via End-to-End Network Integration
The deployment of distributed energy resource (DER) devices plays a critical role in
distribution grids, offering multiple value streams, including decarbonization, provision of …
distribution grids, offering multiple value streams, including decarbonization, provision of …