Machine learning vs. ADM1: Reliable biogas prediction with minimal data requirements in full-scale plants

Sofia Tisocco, Sören Weinrich, Henrik Bjarne Møller, Alastair James Ward, Liam Kilmartin, Xinmin Zhan, Paul Crosson

Open source

DOI
10.1016/j.ese.2026.100662
Published
2026-01
Container
Environmental Science and Ecotechnology
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ese.2026.100662,
  title = {Machine learning vs. ADM1: Reliable biogas prediction with minimal data requirements in full-scale plants},
  author = {Sofia Tisocco and Sören Weinrich and Henrik Bjarne Møller and Alastair James Ward and Liam Kilmartin and Xinmin Zhan and Paul Crosson},
  year = {2026},
  journal = {Environmental Science and Ecotechnology},
  doi = {10.1016/j.ese.2026.100662},
  url = {https://doi.org/10.1016/j.ese.2026.100662}
}

RIS

TY  - JOUR
TI  - Machine learning vs. ADM1: Reliable biogas prediction with minimal data requirements in full-scale plants
AU  - Sofia Tisocco
AU  - Sören Weinrich
AU  - Henrik Bjarne Møller
AU  - Alastair James Ward
AU  - Liam Kilmartin
AU  - Xinmin Zhan
AU  - Paul Crosson
PY  - 2026
JO  - Environmental Science and Ecotechnology
DO  - 10.1016/j.ese.2026.100662
UR  - https://doi.org/10.1016/j.ese.2026.100662
ER  - 

APA

Tisocco, S., Weinrich, S., Møller, H. B., Ward, A. J., Kilmartin, L., Zhan, X., & Crosson, P. (2026). Machine learning vs. ADM1: Reliable biogas prediction with minimal data requirements in full-scale plants. Environmental Science and Ecotechnology. https://doi.org/10.1016/j.ese.2026.100662

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