Solar radiation prediction using RBF neural networks and cloudiness indices
In this paper, Artificial Neural Networks are applied to multi-step long term solar radiation prediction. The networks are trained as one-step-ahead predictors and iterated over time to obtain multi-step longer term predictions. Auto-regressive and Auto-regressive with exogenous inputs solar radiati...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.1/2238 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2238 |