High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow. - Minas Chatzos; Ferdinando Fioretto; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2020)

Spatial Network Decomposition for Fast and Scalable AC-OPF Learning. - Minas Chatzos; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2021)

Data-Driven Time Series Reconstruction for Modern Power Systems Research. - Minas Chatzos; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2021)

Risk-Aware Control and Optimization for High-Renewable Power Grids. - Neil Barry; Minas Chatzos; Wenbo Chen 001; Dahye Han; Chaofan Huang; Roshan Joseph; Michael Klamkin; Seonho Park; Mathieu Tanneau; Pascal Van Hentenryck; Shangkun Wang; Hanyu Zhang; et al. (CoRR, 2022)

Advances in Large-Scale Power System Operations: Reconstruction, Reliability, Learning. - Minas Chatzos (2023)

Learning Regionally Decentralized AC Optimal Power Flows With ADMM. - Terrence W. K. Mak; Minas Chatzos; Mathieu Tanneau; Pascal Van Hentenryck (IEEE Trans. Smart Grid, 2023)