Solar radiation forecasting using ad-hoc time series preprocessing and neural networks

@inproceedings{Paoli2009SolarRF,
  title={Solar radiation forecasting using ad-hoc time series preprocessing and neural networks},
  author={Christophe Paoli and Cyril Voyant and Marc Muselli and Marie-Laure Nivet},
  booktitle={ICIC},
  year={2009}
}
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a horizontal surface. We use an ad-hoc time series preprocessing and a Multi-Layer Perceptron (MLP) in order to predict solar radiation at daily horizon. First results are promising with nRMSE < 21% and RMSE < 998 Wh/m2. Our optimized MLP presents prediction similar to or even better than conventional methods such as… CONTINUE READING
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