Predicting solar radiation with RBF neural networks
In this paper radial basis function neural networks are applied to the prediction of global solar radiation. The networks are employed as one-step-ahead predictors of the solar radiation time series and iterated over time to obtain longer term predictions. Several models are compared varying the inp...
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| Format: | conferenceObject |
| Language: | eng |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/10400.1/2292 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2292 |