Erik Esche

According to our database, Erik Esche authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Cubature-based uncertainty estimation for nonlinear regression models.

Martin Bubel, Jochen Schmid, Maximilian Carmesin, Volodymyr Kozachynskyi, Erik Esche, Michael Bortz

CoRR, 2024

The optimal experiment? Influence of solution strategies on model-based optimal experimental design.

Volodymyr Kozachynskyi, Markus Illner, Erik Esche, Jens-Uwe Repke

Comput. Chem. Eng., 2024

Automatic initial value generation procedure for nonlinear process models by interval arithmetic based cutting and splitting.

Saskia Bublitz, Erik Esche, Jens-Uwe Repke

Comput. Chem. Eng., 2024

2023

Efficient dynamic sampling of batch processes through operation recipes.

Gerardo Brand-Rihm, Erik Esche, Jens-Uwe Repke

Comput. Chem. Eng., November, 2023

2022

Enabling optimization of complex distillation configurations in GAMS with CAPE-OPEN thermodynamic models.

David Krone, Erik Esche, Norbert Asprion, Mirko Skiborowski, Jens-Uwe Repke

Comput. Chem. Eng., 2022

2021

Adaptive Sampling of Dynamic Systems for Generation of Fast and Accurate Surrogate Models.

Torben Talis, Joris Weigert, Erik Esche, Jens-Uwe Repke

CoRR, 2021

Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes.

Erik Esche, Torben Talis, Joris Weigert, Gerardo Brand-Rihm, Byungjun You, Christian Hoffmann, Jens-Uwe Repke

CoRR, 2021

Towards demand-side management of the chlor-alkali electrolysis: Dynamic modeling and model validation.

Joris Weigert, Christian Hoffmann, Erik Esche, Peter Fischer, Jens-Uwe Repke

Comput. Chem. Eng., 2021

Generation of linear-based surrogate models from non-linear functional relationships for use in scheduling formulation.

Andreas Obermeier, Nikolaus Vollmer, Christoph Windmeier, Erik Esche, Jens-Uwe Repke

Comput. Chem. Eng., 2021

Automatic initial value generation with interval arithmetic for nonlinear process models.

Saskia Bublitz, Erik Esche, Jens-Uwe Repke

Comput. Chem. Eng., 2021

2020

A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation.

Christian Hoffmann, Joris Weigert, Erik Esche, Jens-Uwe Repke

Comput. Chem. Eng., 2020

2019

Customized code generation based on user specifications for simulation and optimization.

Gregor Tolksdorf, Erik Esche, Günter Wozny, Jens-Uwe Repke

Comput. Chem. Eng., 2019

2017

Dynamic real-time optimization under uncertainty of a hydroformylation mini-plant.

David Müller, Markus Illner, Erik Esche, Tobias Pogrzeba, Marcel Schmidt, Reinhard Schomäcker, Lorenz T. Biegler, Günter Wozny, Jens-Uwe Repke

Comput. Chem. Eng., 2017

2014

An algorithm for the identification and estimation of relevant parameters for optimization under uncertainty.

David Müller, Erik Esche, Diana C. López C., Günter Wozny

Comput. Chem. Eng., 2014