Arbeitspapier
A comparison of different wind power forecasting models to the Mycielski approach
In the wind power industry, wind speed forecasts are obtained and transformed into wind power forecasts. The Mycielski algorithm has proven to be an accurate predictor for wind speed in short-term scenarios. Moreover, Mycielski has the capability of forecasting wind power directly, instead of wind speed. This article compares wind power forecasts calculated by the Mycielski algorithm to state-of-the-art forecasters. As such, we use the Wind Power Prediction Tool (WPPT) and the recently developed generalization of it, GWPPT (Generalized WPPT). Furthermore, we evaluate statistical time series models such as autoregressive and vector autoregressive models. As an additional benchmark we use the persistence model, which is often used to assess forecasting accuracy. Each model is evaluated and we give a recommendation for the best forecasting model.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Paper ; No. 355
- Klassifikation
-
Wirtschaft
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
Energy Forecasting
- Thema
-
Mycielski algorithm
WPPT
GWPPT
Wind Power
Wind Energy
Forecasting
Prediction
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Croonenbroeck, Carsten
Ambach, Daniel
- Ereignis
-
Veröffentlichung
- (wer)
-
European University Viadrina, Department of Business Administration and Economics
- (wo)
-
Frankfurt (Oder)
- (wann)
-
2014
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Croonenbroeck, Carsten
- Ambach, Daniel
- European University Viadrina, Department of Business Administration and Economics
Entstanden
- 2014
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