Transforming data to information: A parallel hybrid model for real‐time state estimation in lignocellulosic ethanol fermentation-Reference-Cited by-同舟云学术

Transforming data to information: A parallel hybrid model for real‐time state estimation in lignocellulosic ethanol fermentation

Published:2020-10-15 Issue:2 Volume:118 Page:579-591
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnology and Bioengineering

Author:

Cabaneros Lopez Pau¹^ORCID,Udugama Isuru A.¹^ORCID,Thomsen Sune T.²^ORCID,Roslander Christian³,Junicke Helena¹^ORCID,Iglesias Miguel M.⁴^ORCID,Gernaey Krist V.¹^ORCID

Affiliation:

1. Department of Chemical and Biochemical Engineering, Process and Systems Engineering Center (PROSYS) Technical University of Denmark (DTU) Lyngby Denmark

2. Department of Geosciences and Natural Resource Management University of Copenhagen Frederiksberg Denmark

3. Department of Chemical Engineering Lund University Lund Sweden

4. Department of Chemical Engineering, CRETUS Institute Universidade de Santiago de Compostela Santiago de Compostela Spain

Funder

Novo Nordisk Fonden

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.27586

Reference26 articles.

1. Multiblock PLS: Block dependent prediction modeling for Python

2. Practical identifiability analysis of large environmental simulation models

3. Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass

4. Application of near-infrared spectroscopy for monitoring and control of cell culture and fermentation

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