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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology

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Proc. IAHS, 373, 209-214, 2016
https://doi.org/10.5194/piahs-373-209-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
12 May 2016
Inflow forecasting using Artificial Neural Networks for reservoir operation
Chuthamat Chiamsathit et al.

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Short summary
In this study, multi-layer perceptron (MLP) artificial neural networks have been applied to forecast one-month-ahead inflow for the Ubonratana reservoir, Thailand. This is necessary because without knowing the expected inflow, one would not know the amount of water to allocate at the start of each month. As expected, knowing the inflow through our forecasts significantly improved the performance of the Ubonratana reservoir, the test case. We expect the study to have utility for other systems.
In this study, multi-layer perceptron (MLP) artificial neural networks have been applied to...
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