Comparative study of forecasting approaches in monthly streamflow series from Brazilian hydroelectric plants using Extreme Learning Machines and Box & Jenkins models
Authors
Jonatas Belotti
Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil
José Jair Mendes
Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil
Murilo Leme
Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil
Flavio Trojan
Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil
Sergio L. Stevan
Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil
Hugo Siqueira
Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil
Language: English
Page range: 180 - 195
Submitted on: Mar 24, 2020
Accepted on: Nov 29, 2020
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:
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© 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.