Solar radiation prediction methods applied to improve greenhouse climate control

Coelho, João Paulo; Cunha, José Boaventura; Oliveira, Paulo de Moura

http://hdl.handle.net/10198/2773

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Authors

Coelho, João Paulo

Cunha, José Boaventura

Oliveira, Paulo de Moura

Abstract(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.

Keywords

Time series prediction Horticulture Artificial neural networks Linear regression

URI

http://hdl.handle.net/10198/2773

Citation

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