Deep neural networks for time series prediction with applications in ultra-short-term wind forecasting

@inproceedings{Dalto2014DeepNN,
  title={Deep neural networks for time series prediction with applications in ultra-short-term wind forecasting},
  author={Mladen Dalto},
  year={2014}
}
The aim of this paper is to present deep neural network architectures and algorithms and explore their use in time series prediction. Existing and novel input variable selection algorithms and deep neural networks are applied for ultra-short-term wind prediction. Since gradient-based optimization starting from random initialization often appears to get stuck in poor solutions, recent research effort aimed at training methods for such deep networks is summarized. Shallow and deep neural networks… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 37 references

Neural-network-based ultra-short-term wind forecasting

  • Mladen Dalto, Mario Vašak, Mato Baotić, Jadranko Matuško, Kristian Horvath
  • bib.irb.hr,
  • 2014
2 Excerpts

A consistent multivariate test of association based on ranks of distances

  • R. Heller, Y. Heller, M. Gorfine
  • Biometrika
  • 2012
1 Excerpt

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