Scalable online constrained state estimation for digital twin applications in water distribution systems.

Thomas M, Bartos M, Sela L

Open source

DOI
10.1016/j.watres.2026.126996
Published
2026 Sep 24
Container
Water research
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.126996,
  title = {Scalable online constrained state estimation for digital twin applications in water distribution systems.},
  author = {Thomas M and Bartos M and Sela L},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.126996},
  url = {https://doi.org/10.1016/j.watres.2026.126996}
}

RIS

TY  - JOUR
TI  - Scalable online constrained state estimation for digital twin applications in water distribution systems.
AU  - Thomas M
AU  - Bartos M
AU  - Sela L
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.126996
UR  - https://doi.org/10.1016/j.watres.2026.126996
ER  - 

APA

M, T., M, B., & L, S. (2026). Scalable online constrained state estimation for digital twin applications in water distribution systems.. Water research. https://doi.org/10.1016/j.watres.2026.126996

Source records