Publications

Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck (2023). End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. IEEE TPWRS.

Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck (2022). Just-In-Time Learning for Operational Risk Assessment in Power Grids. Submitted to IEEE Transactions on Power Systems.

Michael Klamkin, Mathieu Tanneau, Terrence W. Mak, Pascal Van Hentenryck (2022). Active Bucketized Learning for ACOPF Optimization Proxies. Submitted to AAAI 2023.

Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck (2022). Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. In EPSR.

Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck (2022). A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems. EPSR.

Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck (2022). Data-Driven Time Series Reconstruction for Modern Power Systems Research. EPSR.

Andrea Lodi, Mathieu Tanneau, Juan-Pablo Vielma (2022). Disjunctive cuts for mixed-integer conic optimization. Math. Prog. A.

Terrence W.K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck (2022). Learning Regionally Decentralized AC Optimal Power Flows with ADMM. IEEE TSG.

Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi (2021). Design and implementation of a modular interior-point solver for linear optimization. Math. Prog. Comp..

Defeng Liu, Andrea Lodi, Mathieu Tanneau (2021). Learning chordal extensions. JOGO.

Mathieu Tanneau (2020). Exploiting Structure in Mixed-Integer Linear and Nonlinear Programming.

Miguel Anjos, Andrea Lodi, Mathieu Tanneau (2018). A Decentralized Framework for the Optimal Coordination of Distributed Energy Resources. IEEE TPWRS.