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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	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
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2020-09-01
سلاسل:	Energies
الموضوعات:	monthly seasonal streamflow series forecasting artificial neural networks Box-Jenkins models ensemble
الوصول للمادة أونلاين:	https://www.mdpi.com/1996-1073/13/18/4769
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!