Terrence W.K. Mak
Terrence W.K. Mak
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The power grid library for benchmarking ac optimal power flow algorithms
S Babaeinejadsarookolaee, A Birchfield, RD Christie, C Coffrin, ...
arXiv preprint arXiv:1908.02788, 2019
622019
Predicting AC optimal power flows: Combining deep learning and lagrangian dual methods
F Fioretto, TWK Mak, P Van Hentenryck
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 630-637, 2020
372020
Efficient dynamic compressor optimization in natural gas transmission systems
TWK Mak, P Van Hentenryck, A Zlotnik, H Hijazi, R Bent
2016 American Control Conference (ACC), 7484-7491, 2016
352016
Dynamic compressor optimization in natural gas pipeline systems
TWK Mak, PV Hentenryck, A Zlotnik, R Bent
INFORMS Journal on Computing 31 (1), 40-65, 2019
262019
Differential privacy for power grid obfuscation
F Fioretto, TWK Mak, P Van Hentenryck
IEEE Transactions on Smart Grid 11 (2), 1356-1366, 2019
252019
Privacy-preserving power system obfuscation: A bilevel optimization approach
TWK Mak, F Fioretto, L Shi, P Van Hentenryck
IEEE Transactions on Power Systems 35 (2), 1627-1637, 2019
192019
Maintaining soft arc consistencies in BnB-ADOPT+ during search
P Gutierrez, JHM Lee, KM Lei, TWK Mak, P Meseguer
International Conference on Principles and Practice of Constraint …, 2013
192013
Power system restoration planning with standing phase angle and voltage difference constraints
TWK Mak, C Coffrin, P Van Hentenryck, IA Hiskens, D Hill
2014 Power Systems Computation Conference, 1-8, 2014
162014
Power system restoration with transient stability
H Hijazi, TWK Mak, P Van Hentenryck
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
142015
Privacy-preserving obfuscation of critical infrastructure networks
F Fioretto, TWK Mak, P Van Hentenryck
arXiv preprint arXiv:1905.09778, 2019
92019
Privacy-preserving obfuscation for distributed power systems
TWK Mak, F Fioretto, P Van Hentenryck
Electric Power Systems Research 189, 106718, 2020
72020
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow
M Chatzos, F Fioretto, TWK Mak, P Van Hentenryck
arXiv preprint arXiv:2006.16356, 2020
62020
Lagrangian duality for constrained deep learning
F Fioretto, P Van Hentenryck, TWK Mak, C Tran, F Baldo, M Lombardi
arXiv preprint arXiv:2001.09394, 2020
62020
A nonlinear optimization model for transient stable line switching
TWK Mak, P Van Hentenryck, IA Hiskens
2017 American Control Conference (ACC), 2085-2092, 2017
62017
A lagrangian dual framework for deep neural networks with constraints
F Fioretto, TWK Mak, F Baldo, M Lombardi, P Van Hentenryck
arXiv preprint arXiv:2001.09394, 2020
52020
Consistencies for ultra-weak solutions in minimax weighted csps using the duality principle
A Lallouet, JHM Lee, TWK Mak
International Conference on Principles and Practice of Constraint …, 2012
42012
Weighted constraint satisfaction problems with min-max quantifiers
JHM Lee, TWK Mak, J Yip
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
42011
Phase transitions for optimality gaps in optimal power flows a study on the French transmission network
TWK Mak, L Shi, P Van Hentenryck
arXiv preprint arXiv:1807.05460, 2018
32018
Ultra-weak solutions and consistency enforcement in minimax weighted constraint satisfaction
A Lallouet, JHM Lee, TWK Mak, J Yip
Constraints 20 (2), 109-154, 2015
32015
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
M Chatzos, TWK Mak, P Van Hentenryck
arXiv preprint arXiv:2101.06768, 2021
12021
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