Publications

Gonzalo Constante-Flores, Can Li (2025). A Quadratically-Constrained Convex Approximation for the AC Optimal Power Flow.
PDF Cite
Hao Chen, Gonzalo E. Constante Flores, Can Li (2024). Physics-informed neural networks with hard linear equality constraints. Computers & Chemical Engineering.
Cite DOI
Hao Chen, Gonzalo E. Constante Flores, Can Li (2024). Diagnosing infeasible optimization problems using large language models. INFOR: Information Systems and Operational Research.
PDF Cite DOI
Gonzalo E. Constante Flores, Antonio J. Conejo, Feng Qiu (2024). Daily scheduling of generating units with natural-gas market constraints. European Journal of Operational Research.
Cite DOI
Ricardo M. Lima, Gonzalo E. Constante Flores, Antonio J. Conejo, Omar M. Knio (2024). An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems. EURO Journal on Computational Optimization.
Cite DOI
Asha Ramanujam, Gonzalo E. Constante‐Flores, Can Li (2023). Distributed manufacturing for electrified chemical processes in a microgrid. AIChE Journal.
Cite DOI
Xuan Liu, Antonio J. Conejo, Gonzalo E. Constante Flores (2023). Stochastic Unit Commitment: Model Reduction via Learning. Current Sustainable/Renewable Energy Reports.
Cite DOI
Gonzalo E. Constante Flores, Antonio J. Conejo (2023). Security-constrained unit commitment: A decomposition approach embodying Kron reduction. European Journal of Operational Research.
Cite DOI
Gonzalo E. Constante Flores, Antonio J. Conejo, Ricardo M. Lima (2023). Stochastic scheduling of generating units with weekly energy storage: A hybrid decomposition approach. International Journal of Electrical Power & Energy Systems.
Cite DOI
Gonzalo E. Constante Flores, Antonio J. Conejo, Santiago G. Constante-Flores (2022). Solving certain complementarity problems in power markets via convex programming. TOP.
Cite DOI