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

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By Ja-Ho Koo, IHE Delft, Socio-Technical Innovation
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Koo J-H, Abraham E, Jonoski A, Solomatine DP (2026) Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network. PLoS One 21(5): e0350095. https://doi.org/10.1371/journal.pone.0350095 Editor: Nezir Aydin, Hamad Bin Khalifa University College of Science and Engineering, QATAR Received: April 2, 2025; Accepted: May 7, 2026; Published: May 27, 2026 Copyright: © 2026 Koo et al.
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