Prediction of the solar radiation evolution using computational intelligence techniques and cloudiness indices
In this paper, Artificial Neural Networks are applied for multi-step long term solar radiation prediction. The input-output structure of the neural network models is selected using evolutionary computation methods. The networks are trained as onestep- ahead predictors and iterated over time to obtai...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2224 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2224 |