Physics-informed neural networks with hard linear equality constraints
Oct 1, 2024
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.
Aug 1, 2024
Daily scheduling of generating units with natural-gas market constraints
Feb 1, 2024
An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems
Jan 1, 2024
Distributed manufacturing for electrified chemical processes in a microgrid
Oct 1, 2023
Stochastic Unit Commitment: Model Reduction via Learning
Jul 1, 2023
Security-constrained unit commitment: A decomposition approach embodying Kron reduction
Jun 1, 2023
Stochastic scheduling of generating units with weekly energy storage: A hybrid decomposition approach
Feb 1, 2023
Solving certain complementarity problems in power markets via convex programming
Oct 1, 2022
AC Network-Constrained Unit Commitment via Relaxation and Decomposition
May 1, 2022