Forecasting Membrane Fouling in Filtration Processes using Univariate Data-Driven Models-Reference-Cited by-同舟云学术

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Forecasting Membrane Fouling in Filtration Processes using Univariate Data-Driven Models

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Krüger M.¹,Vogel-Heuser B.¹,Land K.¹,Brandstetter J.¹,Lorenzer J.²,Grim G.²,Franzreb M.³,Berensmeier S.⁴

Affiliation:

1. Institute of Automation and Information Systems, TUM School of Engineering and Design, Technical University of Munich,Germany

2. Andritz Separation GmbH,Vierkirchen,Germany,85256

3. Group Bioengineering and Biosystems, Institute of Functional Interfaces, Karlsruhe Institute of Technology,Germany

4. TUM School of Engineering and Design, Technical University of Munich,Chair of Bioseparation Engineering,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260505.pdf?arnumber=10260505

Reference15 articles.

1. Long Short-Term Memory

2. Optuna

3. Automatic Time Series Forecasting: TheforecastPackage forR

4. Forecasting at Scale

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