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

Pubblicato online: 21 mag 2021

Pagine: 180 - 195

Ricevuto: 24 mar 2020

Accettato: 29 nov 2020

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

Parole chiave

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.