Query: title:(Wind power forecasting using Ensembles), Author: Giebel

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title:(Wind power forecasting using Ensembles) Author: Giebel

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Interpreted as:

title:(Wind AND power AND forecasting AND using AND Ensembles)

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10 items by relevance

1 Conference paper

Wind power forecasting using Ensembles

Giebel, G.; Badger, J.; Landberg, L.; Nielsen, H.Aa.; Madsen, H.; Sattler, K.; et al. (1 more)

Conference Proceedings (cd-rom) — 2004

Year: 2004

Language: English

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2 Conference paper

Wind Power Forecasting Using Ensembles

Giebel, G.; Badger, J.; Landberg, L.; Nielsen, Henrik Aalborg, orlov 31.07.2008; Madsen, Henrik; Sattler, K.; et al. (1 more)

Proceedings of the 2004 Global Windpower Conference and Exhibition — 2004

Year: 2004

Language: English

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jhiagol ckmnebd pf

3 Conference paper

Using ensemble forecasting for wind power

Giebel, G.; Landberg, L.; Badger, J.; Sattler, K.; Feddersen, H.; Nielsen, T.S.; et al. (2 more)

Proceedings Cd-rom. Cd 2 — 2003

Year: 2003

Language: English

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lojckpb ednif hamg

4 Printed book

Using ensemble forecasting for wind power

Giebel, G.; Landberg, L.; Badger, J.; Sattler, K.; Feddersen, H.; Skov Nielsen, T.; et al. (5 more)

lower than the maximum production from wind energy alone. Danish utilities have therefore used short-term prediction of wind energy since the mid-90ies. However, the accuracy is still far from being sufficient in the eyes of the utilities (used to have load forecasts accurate to within 5% on a one-week

Year: 2003

Language: English

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engkaoi lpbm hfjc d

5 Printed book

Wind power ensemble forecasting using wind speed and direction ensembles from ECMWF or NCEP

Aalborg Nielsen, H.; Madsen, Henrik.; Skov Nielsen, T.; Badger, J.; Giebel, G.; Landberg, L.; et al. (5 more)

forecast. In this report we address the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting the ensemble quantiles to allow a probabilistic interpretation. The methods are applied to two wind farms using ensembles from the European Centre for Medium-Range

Year: 2005

Language: English

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6 Report

Wind power ensemble forecasting using wind speed and direction ensembles from ECMWF or NCEP