Corpus ID: 60441335

Winning the Big Data Technologies Horizon Prize: Fast and reliable forecasting of electricity grid traffic by identification of recurrent fluctuations

@article{Vilar2019WinningTB,
  title={Winning the Big Data Technologies Horizon Prize: Fast and reliable forecasting of electricity grid traffic by identification of recurrent fluctuations},
  author={J. M. Vilar},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.04337}
}
  • J. M. Vilar
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • This paper provides a description of the approach and methodology I used in winning the European Union Big Data Technologies Horizon Prize on data-driven prediction of electricity grid traffic. The methodology relies on identifying typical short-term recurrent fluctuations, which is subsequently refined through a regression-of-fluctuations approach. The key points and strategic considerations that led to selecting or discarding different methodological aspects are also discussed. The criteria… CONTINUE READING

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