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Uncertainty Forecasting in a Nutshell: Prediction Models Designed to Prevent Significant Errors

  • Jan Dobschinski
  • , Ricardo Bessa
  • , Pengwei Du
  • , Kenneth Geisler
  • , Sue Ellen Haupt
  • , Matthias Lange
  • , Corinna Mohrlen
  • , Dora Nakafuji
  • , Miguel De La Torre Rodriguez
    • Fraunhofer Institute for Wind Energy Systems
    • Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
    • ERCOT
    • Department of Siemens
    • Energy and Meteo Systems GmbH
    • WEPROG
    • Hawaiian Electric Company
    • RED Eléctricia de Espana

    Research output: Contribution to journalArticlepeer-review

    32 Scopus citations

    Abstract

    It is in the nature of chaotic atmospheric processes that weather forecasts will never be perfectly accurate. This natural fact poses challenges not only for private life, public safety, and traffic but also for electrical power systems with high shares of weather-dependent wind and solar power production.

    Original languageEnglish
    Article number8070538
    Pages (from-to)40-49
    Number of pages10
    JournalIEEE Power and Energy Magazine
    Volume15
    Issue number6
    DOIs
    StatePublished - Nov 1 2017

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