A harmonic power flow program aimed at analyzing distortion effects caused by industrial customers. - Gonzalo Constante-Flores; Gabriela Cabrera-Celi; Franklin L. Quilumba; Jesus Jativa-Ibarra; Wei-Jen Lee (IAS, 2015)

Distributed energy resources placement in distribution networks considering proximity to voltage collapse. - Franklin L. Quilumba; Gonzalo E. Constante; Jesus A. Jativa; Wei-Jen Lee (IAS, 2015)

Semantic-Based Detection Architectures Against Monitoring-Control Attacks in Power Grids. - Gonzalo E. Constante; Christian Moya; Jiankang Wang (SmartGridComm, 2019)

Semantic analysis framework for protecting the power grid against monitoring-control attacks. - Jiankang Wang; Gonzalo E. Constante; Christian Moya; Junho Hong (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

Operations and Long-Term Expansion Planning of Natural-Gas and Power Systems: A Market Perspective. - Antonio J. Conejo; Sheng Chen 011; Gonzalo E. Constante (Proc. IEEE, 2020)

Physics-informed neural networks with hard linear equality constraints. - Hao Chen; Gonzalo E. Constante-Flores; Can Li (Comput. Chem. Eng., 2024)

AC-Network-Informed DC Optimal Power Flow for Electricity Markets. - Gonzalo E. Constante-Flores; André H. Quisaguano; Antonio J. Conejo; Can Li (CoRR, 2024)

An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems. - Ricardo M. Lima; Gonzalo E. Constante-Flores; Antonio J. Conejo; Omar M. Knio (EURO J. Comput. Optim., 2024)

Security-constrained unit commitment: A decomposition approach embodying Kron reduction. - Gonzalo E. Constante-Flores; Antonio J. Conejo (Eur. J. Oper. Res., 2024)

Daily scheduling of generating units with natural-gas market constraints. - Gonzalo E. Constante-Flores; Antonio J. Conejo; Feng Qiu (Eur. J. Oper. Res., 2024)

Diagnosing infeasible optimization problems using large language models. - Hao Chen; Gonzalo E. Constante-Flores; Can Li (INFOR Inf. Syst. Oper. Res., 2024)

FaultExplainer: Leveraging large language models for interpretable fault detection and diagnosis. - Abdullah Khan; Rahul Nahar; Hao Chen; Gonzalo E. Constante-Flores; Can Li (Comput. Chem. Eng., 2025)

Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators. - Amirhossein Mollaali; Gabriel Zufferey; Gonzalo Constante-Flores; Christian Moya; Can Li; Meng Yue; Guang Lin 001 (Neural Networks, 2025)

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules. - Gonzalo E. Constante-Flores; Hao Chen; Can Li (CoRR, 2025)