| Towards demand-side management of the chlor-alkali electrolysis: Dynamic, pressure-driven modeling and model validation of the 1, 2-dichloroethane synthesis C Hoffmann, J Weigert, E Esche, JU Repke Chemical Engineering Science 214, 115358, 2020 | 32 | 2020 |
| Architectures for neural networks as surrogates for dynamic systems in chemical engineering E Esche, J Weigert, GB Rihm, J Göbel, JU Repke Chemical Engineering Research and Design 177, 184-199, 2022 | 19 | 2022 |
| Towards demand-side management of the chlor-alkali electrolysis: Dynamic modeling and model validation J Weigert, C Hoffmann, E Esche, P Fischer, JU Repke Computers & Chemical Engineering 149, 107287, 2021 | 17 | 2021 |
| Semi-supervised learning for data-driven soft-sensing of biological and chemical processes E Esche, T Talis, J Weigert, GB Rihm, B You, C Hoffmann, JU Repke Chemical Engineering Science 251, 117459, 2022 | 14 | 2022 |
| Assessing the realizable flexibility potential of electrochemical processes C Hoffmann, J Hübner, F Klaucke, N Milojević, R Müller, M Neumann, ... Industrial & Engineering Chemistry Research 60 (37), 13637-13660, 2021 | 14 | 2021 |
| A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation C Hoffmann, J Weigert, E Esche, JU Repke Computers & Chemical Engineering 142, 107062, 2020 | 10 | 2020 |
| Uncertainty analysis for data-driven chance-constrained optimization B Haeussling Loewgren, J Weigert, E Esche, JU Repke Sustainability 12 (6), 2450, 2020 | 9 | 2020 |
| Integration of design and operation using dynamic perturbation and chance constraints with unscented transform C Hoffmann, J Weigert, E Esche, JU Repke Computer Aided Chemical Engineering 48, 751-756, 2020 | 7 | 2020 |
| Generation of data-driven models for chance-constrained optimization J Weigert, E Esche, C Hoffmann, JU Repke Computer Aided Chemical Engineering 47, 311-316, 2019 | 6 | 2019 |
| Joint chance constraint approach based on data-driven models for optimization under uncertainty applied to the williams-otto process B You, E Esche, J Weigert, JU Repke Computer Aided Chemical Engineering 50, 523-528, 2021 | 5 | 2021 |
| Enabling Dynamic Real-Time Optimization under Uncertainty using Data-Driven Chance Constraints J Weigert, C Hoffmann, E Esche, JU Repke Computer Aided Chemical Engineering 48, 1189-1194, 2020 | 5 | 2020 |
| Development of a State Estimation Environment for the Optimal Control of a Mini-plant for the Hydroformylation in Microemulsions J Weigert, M Illner, E Esche, JU Repke Chemical Engineering Transactions 70, 973-978, 2018 | 5 | 2018 |
| Chlor-alkali Process with Subsequent Polyvinyl Chloride Production─ Cost Analysis and Economic Evaluation of Demand Response F Klaucke, R Müller, M Hofmann, J Weigert, P Fischer, S Vomberg, ... Industrial & Engineering Chemistry Research 62 (19), 7336-7351, 2023 | 4 | 2023 |
| A framework for stochastic and surrogate-assisted optimization using sequential modular process simulators AT Penteado, E Esche, J Weigert, JU Repke Computer Aided Chemical Engineering 48, 1903-1908, 2020 | 4 | 2020 |
| Adaptive sampling of dynamic systems for generation of fast and accurate surrogate models T Talis, J Weigert, E Esche, JU Repke Chemie Ingenieur Technik 93 (12), 2097-2104, 2021 | 3 | 2021 |
| Optimization under uncertainty based on a data-driven model for a chloralkali electrolyzer cell E Esche, J Weigert, T Budiarto, C Hoffmann, JU Repke Computer Aided Chemical Engineering 46, 577-582, 2019 | 3 | 2019 |
| Evaluation of discretization methods for modeling the chloralkali membrane process T Budiarto, J Weigert, C Hoffmann, E Esche, JU Repke Computer Aided Chemical Engineering 46, 589-594, 2019 | 2 | 2019 |
| Semi‐Empirical and Data‐Driven Modeling of Two‐Phase Flow in Capillary Tubes J Deichl, J Weigert, C Hoffmann, JU Repke, T Grunert Chemie Ingenieur Technik 94 (9), 1216-1216, 2022 | 1 | 2022 |
| Parameter estimation for thermodynamic models using an identifiability analysis and subset selection C Hoffmann, J Weigert, E Esche, JU Repke Computer Aided Chemical Engineering 46, 583-588, 2019 | 1 | 2019 |
| Optimal process operation under uncertainty using transient data-driven probability distributions J Weigert | | 2024 |
Jens-Uwe RepkeTU BerlinBestätigte E-Mail-Adresse bei TU-Berlin.de
