フォロー
Mathieu Tanneau
Mathieu Tanneau
確認したメール アドレス: gatech.edu
タイトル
引用先
引用先
A decentralized framework for the optimal coordination of distributed energy resources
MF Anjos, A Lodi, M Tanneau
IEEE Transactions on Power Systems 34 (1), 349-359, 2018
552018
Learning optimization proxies for large-scale security-constrained economic dispatch
W Chen, S Park, M Tanneau, P Van Hentenryck
Electric Power Systems Research 213, 108566, 2022
492022
Learning regionally decentralized ac optimal power flows with admm
TWK Mak, M Chatzos, M Tanneau, P Van Hentenryck
IEEE Transactions on Smart Grid 14 (6), 4863-4876, 2023
302023
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch
W Chen, M Tanneau, P Van Hentenryck
IEEE Transactions on Power Systems, 1-12, 2023
292023
Confidence-aware graph neural networks for learning reliability assessment commitments
S Park, W Chen, D Han, M Tanneau, P Van Hentenryck
IEEE Transactions on Power Systems, 2023
242023
Design and implementation of a modular interior-point solver for linear optimization
M Tanneau, MF Anjos, A Lodi
Mathematical Programming Computation 13 (3), 509-551, 2021
18*2021
Disjunctive cuts in mixed-integer conic optimization
A Lodi, M Tanneau, JP Vielma
Mathematical Programming 199 (1), 671-719, 2023
172023
Data-driven time series reconstruction for modern power systems research
M Chatzos, M Tanneau, P Van Hentenryck
Electric Power Systems Research 212, 108589, 2022
112022
Learning chordal extensions
D Liu, A Lodi, M Tanneau
Journal of Global Optimization 81 (1), 3-22, 2021
72021
Dual conic proxies for AC optimal power flow
G Qiu, M Tanneau, P Van Hentenryck
Electric Power Systems Research 236, 110661, 2024
62024
Strong mixed-integer formulations for transmission expansion planning with FACTS devices
K Wu, M Tanneau, P Van Hentenryck
Electric Power Systems Research 235, 110695, 2024
62024
Risk-aware control and optimization for high-renewable power grids
N Barry, M Chatzos, W Chen, D Han, C Huang, R Joseph, M Klamkin, ...
arXiv preprint arXiv:2204.00950, 2022
62022
Just-in-time learning for operational risk assessment in power grids
O Stover, P Karve, S Mahadevan, W Chen, H Zhao, M Tanneau, ...
arXiv preprint arXiv:2209.12762, 2022
52022
Bucketized Active Sampling for learning ACOPF
M Klamkin, M Tanneau, TWK Mak, P Van Hentenryck
Electric Power Systems Research 235, 110697, 2024
4*2024
Bound tightening using rolling-horizon decomposition for neural network verification
H Zhao, H Hijazi, H Jones, J Moore, M Tanneau, P Van Hentenryck
International Conference on the Integration of Constraint Programming …, 2024
42024
A linear outer approximation of line losses for DC-based optimal power flow problems
H Zhao, M Tanneau, P Van Hentenryck
Electric Power Systems Research 212, 108272, 2022
42022
Learning optimal power flow value functions with input-convex neural networks
A Rosemberg, M Tanneau, B Fanzeres, J Garcia, P Van Hentenryck
Electric Power Systems Research 235, 110643, 2024
32024
Weather-informed probabilistic forecasting and scenario generation in power systems
H Zhang, R Zandehshahvar, M Tanneau, P Van Hentenryck
Applied Energy 384, 125369, 2025
22025
Asset bundling for hierarchical forecasting of wind power generation
H Zhang, M Tanneau, C Huang, VR Joseph, S Wang, P Van Hentenryck
Electric Power Systems Research 235, 110771, 2024
22024
Real-time risk analysis with optimization proxies
W Chen, M Tanneau, P Van Hentenryck
Electric Power Systems Research 235, 110822, 2024
22024
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