1. Uncertainty Forecasting in a Nutshell: Prediction Models Designed to Prevent Significant Errors
- Author
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Corinna Möhrlen, Ricardo J. Bessa, Jan Dobschinski, Miguel de la Torre Rodriguez, Dora Nakafuji, Sue Ellen Haupt, Kenneth I. Geisler, Matthias Lange, and Pengwei Du
- Subjects
Engineering ,Meteorology ,business.industry ,020209 energy ,Chaotic ,Energy Engineering and Power Technology ,02 engineering and technology ,7. Clean energy ,Industrial engineering ,Electric power system ,Atmospheric measurements ,Private life ,13. Climate action ,0202 electrical engineering, electronic engineering, information engineering ,Astrophysics::Solar and Stellar Astrophysics ,Production (economics) ,Electrical and Electronic Engineering ,business ,Physics::Atmospheric and Oceanic Physics ,Solar power ,Predictive modelling - 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.
- Published
- 2017
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