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Comparative study of forecasting approaches in monthly streamflow series from Brazilian hydroelectric plants using Extreme Learning Machines and Box & Jenkins models Cover

Comparative study of forecasting approaches in monthly streamflow series from Brazilian hydroelectric plants using Extreme Learning Machines and Box & Jenkins models

Journal of Hydrology and Hydromechanics
Volume 69 (2021): Issue 2 (June 2021)
By: Jonatas Belotti,  José Jair Mendes,  Murilo Leme,  Flavio Trojan,  Sergio L. Stevan and  Hugo Siqueira  
Open Access
|May 2021
DOI: https://doi.org/10.2478/johh-2021-0001 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
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Language: English
Page range: 180 - 195
Submitted on: Mar 24, 2020
|
Accepted on: Nov 29, 2020
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Published on: May 21, 2021
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Streamflow series prediction,
Multistep forecasting,
Monthly approach,
Box & Jenkins models,
Extreme Learning Machines
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2021 Jonatas Belotti, José Jair Mendes, Murilo Leme, Flavio Trojan, Sergio L. Stevan, Hugo Siqueira, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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