Featured Publications
AC-network-informed DC optimal power flow for electricity markets featured image
Low Fidelity Models

AC-network-informed DC optimal power flow for electricity markets

This work proposes a methodology to tune low-fidelity optimization models using machine learning techniques for electricity market applications.

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Diagnosing infeasible optimization problems using large language models featured image
Large Language Models

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.

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Publications

A continuously updated and complete list of publications is available on my Google Scholar.

Gonzalo Constante-Flores, Can Li (2025). A Quadratically-Constrained Convex Approximation for the AC Optimal Power Flow.
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Gonzalo Constante-Flores, André Quisaguano, Antonio J. Conejo, Can Li (2025). AC-network-informed DC optimal power flow for electricity markets. 58th Hawaii International Conference on System Sciences (HICSS).
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Hao Chen, Gonzalo E. Constante-Flores, Can Li (2024). Physics-informed neural networks with hard linear equality constraints. Computers & Chemical Engineering.
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Hao Chen, Gonzalo E. Constante-Flores, Can Li (2024). Diagnosing infeasible optimization problems using large language models. INFOR: Information Systems and Operational Research.
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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.
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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.
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Asha Ramanujam, Gonzalo E. Constante‐Flores, Can Li (2023). Distributed manufacturing for electrified chemical processes in a microgrid. AIChE Journal.
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Xuan Liu, Antonio J. Conejo, Gonzalo E. Constante Flores (2023). Stochastic Unit Commitment: Model Reduction via Learning. Current Sustainable/Renewable Energy Reports.
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Gonzalo E. Constante-Flores, Antonio J. Conejo (2023). Security-constrained unit commitment: A decomposition approach embodying Kron reduction. European Journal of Operational Research.
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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.
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Gonzalo E. Constante-Flores, Antonio J. Conejo, Santiago G. Constante-Flores (2022). Solving certain complementarity problems in power markets via convex programming. TOP.
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Gonzalo E. Constante-Flores, Antonio J. Conejo, Feng Qiu (2022). AC Network-Constrained Unit Commitment via Relaxation and Decomposition. IEEE Transactions on Power Systems.
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Gonzalo E. Constante-Flores, Antonio J. Conejo, Jiankang Wang (2022). Stealthy monitoring-control attacks to disrupt power system operations. Electric Power Systems Research.
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Gonzalo E. Constante-Flores, Antonio J. Conejo, Feng Qiu (2022). AC network-constrained unit commitment via conic relaxation and convex programming. International Journal of Electrical Power & Energy Systems.
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Gonzalo E. Constante-Flores, Antonio J. Conejo, Jiankang Wang (2021). Sensitivity-based Vulnerability Assessment of State Estimation. Journal of Modern Power Systems and Clean Energy.
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Gonzalo E. Constante-Flores, Antonio J. Conejo, Jiankang Wang (2021). Sensitivity-based Vulnerability Assessment of State Estimation. Journal of Modern Power Systems and Clean Energy.
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Antonio J. Conejo, Sheng Chen, Gonzalo E. Constante (2020). Operations and Long-Term Expansion Planning of Natural-Gas and Power Systems: A Market Perspective. Proceedings of the IEEE.
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Gonzalo E. Constante-Flores, Joseph Abillama, Mahesh Illindala, Jiankang Wang (2019). Conservation voltage reduction of networked microgrids. IET Generation, Transmission and Distribution.
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Gonzalo Esteban Constante-Flores, Mahesh S. Illindala (2019). Data-Driven Probabilistic Power Flow Analysis for a Distribution System With Renewable Energy Sources Using Monte Carlo Simulation. IEEE Transactions on Industry Applications.
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