Wind power forecasting by an empirical model using NWP outputs

This paper presents a simple and robust wind power forecasting approach using inputs from a state-of-the-art numerical weather prediction models (NWP) with mesoscale resolution. The model can be used for short-term and longer term forecasting horizon up to 72 hours ahead. The forecasting ability of...

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Bibliographic Details
Main Authors: Pelikán, E, Eben, K, Resler, J, Juruš, P, Krč, P, Brabec, M, Brabec, T, Musilek, P
Format: Conference Proceeding
Language:English
Subjects:
Economic forecasting
energy production
forecasting
Predictive models
Production
Robustness
Turbines
Weather forecasting
Wind energy
Wind energy generation
Wind forecasting
wind power
Wind speed
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Summary:This paper presents a simple and robust wind power forecasting approach using inputs from a state-of-the-art numerical weather prediction models (NWP) with mesoscale resolution. The model can be used for short-term and longer term forecasting horizon up to 72 hours ahead. The forecasting ability of the presented approach is demonstrated using real power production data from the Czech Republic.
DOI:10.1109/EEEIC.2010.5490019