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

Online veröffentlicht: 21. Mai 2021

Seitenbereich: 180 - 195

Eingereicht: 24. März 2020

Akzeptiert: 29. Nov. 2020

DOI: https://doi.org/10.2478/johh-2021-0001

Schlüsselwörter

Streamflow series prediction, Multistep forecasting, Monthly approach, Box & Jenkins models, Extreme Learning Machines

© 2021 Jonatas Belotti et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.