Data/hora: 02/06/2024 17:58:38

Provedor de dados: | 86
País: | Brazil
Título: | Development and evaluation of neural network models to estimate daily solar radiation at Córdoba, Argentina
Autores: | Bocco,Mónica; Ovando,Gustavo; Sayago,Silvina.
Data: | 2006-02-01
Ano: | 2006
Palavras-chave: | Modelling; Prediction; Backpropagation neural networks.
Resumo: | The objective of this work was to develop neural network models of backpropagation type to estimate solar radiation based on extraterrestrial radiation data, daily temperature range, precipitation, cloudiness and relative sunshine duration. Data from Córdoba, Argentina, were used for development and validation. The behaviour and adjustment between values observed and estimates obtained by neural networks for different combinations of input were assessed. These estimations showed root mean square error between 3.15 and 3.88 MJ m-2 d-1 . The latter corresponds to the model that calculates radiation using only precipitation and daily temperature range. In all models, results show good adjustment to seasonal solar radiation. These results allow inferring the adequate performance and pertinence of this methodology to estimate complex phenomena, such as solar radiation.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2006000200001

Editor:

Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira

Relação: | 10.1590/S0100-204X2006000200001
Formato: | text/html
Fonte: | Pesquisa Agropecuária Brasileira  v.41 n.2 2006
Fonte: | info:eu-repo/semantics/openAccess