Papers matching “data-driven process models” 41
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Combining Data-driven and Physics-based Process Models for Hybrid Model Predictive Control of Building Energy Systems2022 2006 14th Mediterranean Conference on Control and Automation conference-paper Engineering Building Energy and Comfort Optimization
Phillip Stoffel, Charlotte Löffler, Steffen Eser, Alexander Kümpel, Dirk Müller
5citations -
Dynamic measurement with in-cycle process excitation of HCCI combustion: The key to handle complexity of data-driven control?2022 International Journal of Engine Research article Chemical Engineering Advanced Combustion Engine Technologies
Julian Bedei, Malte Oberlies, Patrick Schaber, David C. Gordon, Eugen Nuss, Liguang Li, +1 more
7citations -
Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models2022 Computers & Chemical Engineering article Engineering Process Optimization and Integration Open access
Jannik Burre, Christoph Kabatnik, Mohamed Al-Khatib, Dominik Bongartz, Andreas Jupke, Alexander Mitsos
4citations -
A Data-Driven Reduced Order Modeling Approach Applied in Context of Numerical Analysis and Optimization of Plastic Profile Extrusion4citations
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Present-day upper mantle structure of the Alps: insights from data-driven dynamic modelling2022 conference-abstract Earth and Planetary Sciences Geological Formations and Processes Exploration Open access
Ajay Kumar, Mauro Cacace, Magdalena Scheck‐Wenderoth, Judith Bott, Hans‐Jürgen Götze, Boris J. P. Kaus
0citations -
The use of predictive models to develop chromatography-based purification processes2022 Frontiers in Bioengineering and Biotechnology article Biochemistry, Genetics and Molecular Biology Protein purification and stability Open access
C. R. Bernau, Matthias Knödler, Jessica Emonts, Ronald Jäpel, Johannes F. Buyel
51citations -
Bayesian calibration, process modeling and uncertainty quantification in biotechnology2022 PLoS Computational Biology article Decision Sciences Optimal Experimental Design Methods Open access cited by 1 patent
Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges
34citations -
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives2022 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access
Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt
4citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations