Previsão de vazões utilizando redes neurais para Sobradinho

• Autor(a) principal: Ramos, Kaio Martins
• Data de Publicação: 2017
• Outros Autores: Guimarães, Antonio Alisson Pessoa, Silveira, Cleiton da Silva, Teixeira Filho, Antônio Robsson de Sousa, Silva, Francisco Wellington Martins da, Moreira, Katerine da Silva
• Tipo de documento: Artigo de conferência
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/54713
• topic: Previsão do tempo; Redes neurais (Computação); Medidores de fluxo; Reservatório de Sobradinho, Rio São Francisco - vazão

Artificial Neural Networks are computational models based on the nervous system of living beings, thus possessing learning ability through the search of patterns. This paper aims to use artificial neural networks to flow forecasting of the Sobradinho reservoir, located in the São Francisco River at Bahia State. Using data natural flow and climatic variables provided by the National System Operator (NSO) and International Research Institute for Climate and Society (IRI), respectively. Artificial Neural networks was developed with four inputs, two hidden layers with three neurons and output natural flow variable. Satisfactory results and good performance were obtained in the forecasts. Artificial Neural Networks use is a good tool for forecasting, thus providing valuable information for making important decisions.