E3S Web Conf.
Volume 289, 2021International Conference of Young Scientists “Energy Systems Research 2021”
|Number of page(s)||4|
|Section||Development and Operation of Energy Systems|
|Published online||13 July 2021|
Generation of prognostic interval estimates of water inflows to hydroelectric reservoirs using multiparametric neural network
ESI SB RAS, Melentiev Energy Systems of Siberian Branch of the Russian Academy of Sciences, 130 Lermontov st., Irkutsk, Russia
* Corresponding author: firstname.lastname@example.org
The article discusses the practical application of the neural network for hydropower and water management systems. Various models of neural networks are understood, their advantages and disadvantages for a particular subject area. Method and operation of multiparametric neural network are described using practical examples, in particular, formation of interval estimates in reservoir of hydroelectric power station.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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