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

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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

Open Access

|May 2021

Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil

Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil

Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil

Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil

Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil

Federal University of Technology – Paraná (UTFPR), Rua Doutor Washington Subtil Chueire, Brazil

DOI: https://doi.org/10.2478/johh-2021-0001 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X

Language: English

Page range: 180 - 195

Submitted on: Mar 24, 2020

Accepted on: Nov 29, 2020

Published on: May 21, 2021

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

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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.