Article-Journal

Physics-informed neural networks with hard linear equality constraints

Diagnosing infeasible optimization problems using large language models

This work introduces OptiChat, a system designed to process, revise, and explain optimization models through natural language dialogues.

Daily scheduling of generating units with natural-gas market constraints

An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems

Distributed manufacturing for electrified chemical processes in a microgrid

Stochastic Unit Commitment: Model Reduction via Learning

Security-constrained unit commitment: A decomposition approach embodying Kron reduction

Stochastic scheduling of generating units with weekly energy storage: A hybrid decomposition approach

Solving certain complementarity problems in power markets via convex programming

AC Network-Constrained Unit Commitment via Relaxation and Decomposition