Physics-informed graph inference and prediction for global state estimation in water distribution networks.

Man Y, Zhou X, Tian W, Yuan R, Su K, Yuan Z

DOI: 10.1016/j.watres.2026.126386
Published: 2026 Oct 1
Container: Water research
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.126386,
  title = {Physics-informed graph inference and prediction for global state estimation in water distribution networks.},
  author = {Man Y and Zhou X and Tian W and Yuan R and Su K and Yuan Z},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.126386},
  url = {https://doi.org/10.1016/j.watres.2026.126386}
}

RIS

TY  - JOUR
TI  - Physics-informed graph inference and prediction for global state estimation in water distribution networks.
AU  - Man Y
AU  - Zhou X
AU  - Tian W
AU  - Yuan R
AU  - Su K
AU  - Yuan Z
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.126386
UR  - https://doi.org/10.1016/j.watres.2026.126386
ER  -

APA

Y, M., X, Z., W, T., R, Y., K, S., & Z, Y. (2026). Physics-informed graph inference and prediction for global state estimation in water distribution networks.. Water research. https://doi.org/10.1016/j.watres.2026.126386

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pubmed · retrieved 2026-09-25T18:57:25.415Z