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Publicação
Solar radiation prediction methods applied to improve greenhouse climate control
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Orientador(es)
Resumo(s)
In this paper, deterministic and Artificial Neural Networks (ANNs)based techniques are applied to generate solar radiation forecast with the purpose of being incorporateed within a greenhouse predictive control strategy. These predictions are essential to estimate heat load flunctions in the greenhouse caused by high frequency solar radiation changes, and so to improve ventilation and heating computation requeriments for the greenhouse.
Descrição
Palavras-chave
Time series prediction Horticulture Artificial neural networks Linear regression
Contexto Educativo
Citação
Coelho, João; Cunha, José; Oliveira, Paulo (2001)- Solar radiation prediction methods applied to improve greenhouse climate control. In World Congress of Computers in Agriculture and Natural Resources. Iguaçu Falls, Brasil. p. 154-160