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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Bibliografski detalji

Glavni autori:	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:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2020-09-01
Serija:	Energies
Teme:	monthly seasonal streamflow series forecasting artificial neural networks Box-Jenkins models ensemble
Online pristup:	https://www.mdpi.com/1996-1073/13/18/4769
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