Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network.

Koo JH, Abraham E, Jonoski A, Solomatine DP.

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DOI: 10.1371/journal.pone.0350095
Published: 2026-05-27
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0350095,
  title = {Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network.},
  author = {Koo JH and  Abraham E and  Jonoski A and  Solomatine DP.},
  year = {2026},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0350095},
  url = {https://doi.org/10.1371/journal.pone.0350095}
}

RIS

TY  - JOUR
TI  - Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network.
AU  - Koo JH
AU  -  Abraham E
AU  -  Jonoski A
AU  -  Solomatine DP.
PY  - 2026
JO  - PLoS One
DO  - 10.1371/journal.pone.0350095
UR  - https://doi.org/10.1371/journal.pone.0350095
ER  -

APA

JH, K., E, A., A, J., & DP., S. (2026). Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network.. PLoS One. https://doi.org/10.1371/journal.pone.0350095

Source records

europe-pmc · retrieved 2026-11-10T09:41:45.644Z
doaj · retrieved 2026-11-10T09:41:45.633Z