| 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 | 271 | 2019 |
| 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 | 234 | 2020 |
| Lagrangian duality for constrained deep learning F Fioretto, P Van Hentenryck, TWK Mak, C Tran, F Baldo, M Lombardi Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 84 | 2021 |
| Differential privacy for power grid obfuscation F Fioretto, TWK Mak, P Van Hentenryck IEEE Transactions on Smart Grid 11 (2), 1356-1366, 2019 | 79 | 2019 |
| 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 | 58 | 2020 |
| 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 | 52 | 2019 |
| 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 | 49 | 2019 |
| Spatial network decomposition for fast and scalable AC-OPF learning M Chatzos, TWK Mak, P Van Hentenryck IEEE Transactions on Power Systems 37 (4), 2601-2612, 2021 | 46 | 2021 |
| 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 | 44 | 2016 |
| 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 | 28 | 2023 |
| Compact optimization learning for AC optimal power flow S Park, W Chen, TWK Mak, P Van Hentenryck IEEE Transactions on Power Systems, 2023 | 22 | 2023 |
| Maintaining Soft Arc Consistencies in BnB-ADOPT + during Search P Gutierrez, JHM Lee, KM Lei, TWK Mak, P Meseguer Principles and Practice of Constraint Programming: 19th International …, 2013 | 22 | 2013 |
| Power system restoration with transient stability H Hijazi, TWK Mak, P Van Hentenryck Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 21 | 2015 |
| 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 | 20 | 2014 |
| Privacy-preserving obfuscation of critical infrastructure networks F Fioretto, TWK Mak, P Van Hentenryck Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 19 | 2019 |
| Privacy-preserving obfuscation for distributed power systems TWK Mak, F Fioretto, P Van Hentenryck Electric Power Systems Research 189, 106718, 2020 | 18 | 2020 |
| Grid optimization competition challenge 3 problem formulation JT Holzer, CJ Coffrin, C DeMarco, R Duthu, ST Elbert, BC Eldridge, ... Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2024 | 16 | 2024 |
| Grid optimization competition on synthetic and industrial power systems F Safdarian, J Snodgrass, JH Yeo, A Birchfield, C Coffrin, C Demarco, ... 2022 North American Power Symposium (NAPS), 1-6, 2022 | 9 | 2022 |
| A nonlinear optimization model for transient stable line switching TWK Mak, P Van Hentenryck, IA Hiskens 2017 American Control Conference (ACC), 2085-2092, 2017 | 8 | 2017 |
| A lagrangian dual framework for deep neural networks with constraints F Fioretto, TW Mak, F Baldo, M Lombardi, P Van Hentenryck arXiv preprint arXiv:2001.09394, 2020 | 7 | 2020 |
Carleton CoffrinLos Alamos National LaboratoryVerified email at lanl.gov
