Neural-Based Ensembles and Unorganized Machines to Predict Streamflow Series from Hydroelectric Plants

Neural-Based Ensembles and Unorganized Machines to Predict Streamflow Series from Hydroelectric Plants

Estimating future streamflows is a key step in producing electricity for countries with hydroelectric plants. Accurate predictions are particularly important due to environmental and economic impact they lead. In order to analyze the forecasting capability of models regarding monthly seasonal stream...

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Bibliographic Details
Main Authors: Jônatas Belotti, Hugo Siqueira, Lilian Araujo, Sérgio L. Stevan, Paulo S.G. de Mattos Neto, Manoel H. N. Marinho, João Fausto L. de Oliveira, Fábio Usberti, Marcos de Almeida Leone Filho, Attilio Converti, Leonie Asfora Sarubbo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
monthly seasonal streamflow series forecasting
artificial neural networks
Box-Jenkins models
ensemble
Online Access:https://www.mdpi.com/1996-1073/13/18/4769

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https://www.mdpi.com/1996-1073/13/18/4769

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