| ReLU networks as surrogate models in mixed-integer linear programs B Grimstad, H Andersson Computers & Chemical Engineering 131, 106580, 2019 | 128 | 2019 |
| Global optimization of multiphase flow networks using spline surrogate models B Grimstad, B Foss, R Heddle, M Woodman Computers & Chemical Engineering 84, 237-254, 2016 | 51 | 2016 |
| Petroleum production optimization–a static or dynamic problem? B Foss, BR Knudsen, B Grimstad Computers & Chemical Engineering 114, 245-253, 2018 | 46 | 2018 |
| SPLINTER: a library for multivariate function approximation with splines B Grimstad SPLINTER: a library for multivariate function approximation with splines, 2015 | 28* | 2015 |
| Global optimization with spline constraints: a new branch-and-bound method based on B-splines B Grimstad, A Sandnes Journal of Global Optimization 65, 401-439, 2016 | 27 | 2016 |
| Developing a hybrid data-driven, mechanistic virtual flow meter-a case study M Hotvedt, B Grimstad, L Imsland IFAC-PapersOnLine 53 (2), 11692-11697, 2020 | 25 | 2020 |
| Bayesian neural networks for virtual flow metering: An empirical study B Grimstad, M Hotvedt, AT Sandnes, O Kolbjørnsen, LS Imsland Applied Soft Computing 112, 107776, 2021 | 24 | 2021 |
| A nonlinear, adaptive observer for gas-lift wells operating under slowly varying reservoir pressure B Grimstad, B Foss IFAC Proceedings Volumes 47 (3), 2824-2829, 2014 | 14 | 2014 |
| A simple data-driven approach to production estimation and optimization B Grimstad, V Gunnerud, A Sandnes, S Shamlou, IS Skrondal, V Uglane, ... SPE intelligent energy international conference and exhibition, SPE-181104-MS, 2016 | 13 | 2016 |
| Production optimization–facilitated by divide and conquer strategies B Foss, B Grimstad, V Gunnerud IFAC-PapersOnLine 48 (6), 1-8, 2015 | 13 | 2015 |
| On gray-box modeling for virtual flow metering M Hotvedt, B Grimstad, D Ljungquist, L Imsland Control Engineering Practice 118, 104974, 2022 | 12 | 2022 |
| Towards an objective feasibility pump for convex MINLPs S Sharma, BR Knudsen, B Grimstad Computational Optimization and Applications 63, 737-753, 2016 | 12 | 2016 |
| Multi-task learning for virtual flow metering AT Sandnes, B Grimstad, O Kolbjørnsen Knowledge-Based Systems 232, 107458, 2021 | 10 | 2021 |
| Daily Production Optimization for Subsea Production Systems: Methods based on mathematical programming and surrogate modelling B Grimstad NTNU, 2015 | 10 | 2015 |
| Identifiability and physical interpretability of hybrid, gray-box models-a case study M Hotvedt, B Grimstad, L Imsland IFAC-PapersOnLine 54 (3), 389-394, 2021 | 8 | 2021 |
| Mathematical programming formulations for piecewise polynomial functions B Grimstad, BR Knudsen Journal of Global Optimization 77 (3), 455-486, 2020 | 7 | 2020 |
| Spline fluid models for optimization E Jahanshahi, B Grimstad, B Foss IFAC-PapersOnLine 49 (7), 400-405, 2016 | 7 | 2016 |
| Passive learning to address nonstationarity in virtual flow metering applications M Hotvedt, BA Grimstad, LS Imsland Expert Systems With Applications 210, 118382, 2022 | 6 | 2022 |
| reluMIP: Open source tool for MILP optimization of ReLu neural networks L Lueg, B Grimstad, A Mitsos, AM Schweidtmann Oct, 2021 | 6 | 2021 |
| SPLINTER: a library for multivariate function approximation with splines (2015) B Grimstad URL http://github. com/bgrimstad/splinter, 2015 | 5 | 2015 |
