| Security-constrained design of isolated multi-energy microgrids S Mashayekh, M Stadler, G Cardoso, M Heleno, SC Madathil, ... IEEE Transactions on Power Systems 33 (3), 2452-2462, 2017 | 130 | 2017 |
| Tightening McCormick relaxations for nonlinear programs via dynamic multivariate partitioning H Nagarajan, M Lu, E Yamangil, R Bent Principles and Practice of Constraint Programming: 22nd International …, 2016 | 90 | 2016 |
| An adaptive, multivariate partitioning algorithm for global optimization of nonconvex programs H Nagarajan, M Lu, S Wang, R Bent, K Sundar Journal of Global Optimization 74, 639-675, 2019 | 89 | 2019 |
| Juniper: An open-source nonlinear branch-and-bound solver in Julia O Kröger, C Coffrin, H Hijazi, H Nagarajan Integration of Constraint Programming, Artificial Intelligence, and …, 2018 | 83 | 2018 |
| Resilient design of large-scale distribution feeders with networked microgrids A Barnes, H Nagarajan, E Yamangil, R Bent, S Backhaus Electric Power Systems Research 171, 150-157, 2019 | 78 | 2019 |
| Optimal resilient transmission grid design H Nagarajan, E Yamangil, R Bent, P Van Hentenryck, S Backhaus 2016 Power Systems Computation Conference (PSCC), 1-7, 2016 | 77 | 2016 |
| Chance-constrained unit commitment with N-1 security and wind uncertainty K Sundar, H Nagarajan, L Roald, S Misra, R Bent, D Bienstock IEEE Transactions on control of network systems 6 (3), 1062-1074, 2019 | 65 | 2019 |
| Resilient off-grid microgrids: Capacity planning and N-1 security SC Madathil, E Yamangil, H Nagarajan, A Barnes, R Bent, S Backhaus, ... IEEE Transactions on Smart Grid 9 (6), 6511-6521, 2017 | 60 | 2017 |
| Optimal transmission line switching under geomagnetic disturbances M Lu, H Nagarajan, E Yamangil, R Bent, S Backhaus, A Barnes IEEE Transactions on Power Systems 33 (3), 2539-2550, 2017 | 55 | 2017 |
| Tight piecewise convex relaxations for global optimization of optimal power flow M Lu, H Nagarajan, R Bent, SD Eksioglu, SJ Mason 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 49 | 2018 |
| Probabilistic N‐k failure‐identification for power systems K Sundar, C Coffrin, H Nagarajan, R Bent Networks 71 (3), 302-321, 2018 | 38 | 2018 |
| Communication-constrained expansion planning for resilient distribution systems G Byeon, P Van Hentenryck, R Bent, H Nagarajan INFORMS Journal on Computing 32 (4), 968-985, 2020 | 37 | 2020 |
| Enforcing the non‐negativity constraint and maximum principles for diffusion with decay on general computational grids H Nagarajan, KB Nakshatrala International Journal for Numerical Methods in Fluids 67 (7), 820-847, 2011 | 35 | 2011 |
| Generalized convex hull pricing for the AC optimal power flow problem M Garcia, H Nagarajan, R Baldick IEEE Transactions on Control of Network Systems 7 (3), 1500-1510, 2020 | 32 | 2020 |
| Adaptive convex relaxations for gas pipeline network optimization F Wu, H Nagarajan, A Zlotnik, R Sioshansi, AM Rudkevich 2017 American Control Conference (ACC), 4710-4716, 2017 | 32 | 2017 |
| Proving global optimality of ACOPF solutions S Gopinath, HL Hijazi, T Weisser, H Nagarajan, M Yetkin, K Sundar, ... Electric Power Systems Research 189, 106688, 2020 | 31 | 2020 |
| Unit commitment with n-1 security and wind uncertainty K Sundar, H Nagarajan, M Lubin, L Roald, S Misra, R Bent, D Bienstock 2016 Power Systems Computation Conference (PSCC), 1-7, 2016 | 31 | 2016 |
| Optimization-based bound tightening using a strengthened QC-relaxation of the optimal power flow problem K Sundar, H Nagarajan, S Misra, M Lu, C Coffrin, R Bent 2023 62nd IEEE conference on decision and control (CDC), 4598-4605, 2023 | 30 | 2023 |
| Evaluating ising processing units with integer programming C Coffrin, H Nagarajan, R Bent Integration of Constraint Programming, Artificial Intelligence, and …, 2019 | 29 | 2019 |
| A numerical methodology for enforcing maximum principles and the non-negative constraint for transient diffusion equations KB Nakshatrala, H Nagarajan, M Shabouei Communications in Computational Physics 19 (1), 53-93, 2016 | 23 | 2016 |
Russell BentScientist, Los Alamos National Laboratory在 lanl.gov 的电子邮件经过验证
