Impact of wind power forecasting error bias on the economic operation of autonomous power systems

Author:

Tsikalakis Antonis G.,Hatziargyriou Nikos D.,Katsigiannis Yiannis A.,Georgilakis Pavlos S.

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Short-term prediction-an overview;Landberg;Wind Energy,2003

2. Giebel G, Brownsword R, Kariniotakis G. The state-of-the-art in short-term prediction of wind power: a literature overview. [Online]. Available: http://anemos.cma.fr/download/ANEMOS_D1.1_StateOfTheArt_v1.1.pdf. (Accessed 12 July 2007)

3. A comparison of a few statistical models for making quantile wind power forecasts;Bremnes;Wind Energy,2006

4. Wind Power in Power Systems

5. Probabilistic wind power forecasts using local quantile regression;Bremnes;Wind Energy,2004

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