Gregor Giebel
Gregor Giebel
DTU Wind Energy
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Cited by
Cited by
The state-of-the-art in short-term prediction of wind power: A literature overview
G Giebel, R Brownsword, G Kariniotakis, M Denhard, C Draxl
ANEMOS. plus, 2011
Short‐term prediction—an overview
L Landberg, G Giebel, HA Nielsen, T Nielsen, H Madsen
Wind Energy: An International Journal for Progress and Applications in Wind …, 2003
On the benefits of distributed generation of wind energy in Europe
G Giebel
VDI-Verlag, 2001
State-of-the-art Methods and software tools for short-term prediction of wind energy production
G Giebel, L Landberg, G Kariniotakis, R Brownsword
A new reference for wind power forecasting
TS Nielsen, A Joensen, H Madsen, L Landberg, G Giebel
Wind Energy: An International Journal for Progress and Applications in Wind …, 1998
Wind power forecasting error distributions: An international comparison
BM Hodge, D Lew, M Milligan, H Holttinen, S Sillanpaa, E Gómez-Lázaro, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2012
Evaluating winds and vertical wind shear from Weather Research and Forecasting model forecasts using seven planetary boundary layer schemes
C Draxl, AN Hahmann, A Peña, G Giebel
Wind Energy 17 (1), 39-55, 2014
What performance can be expected by short-term wind power prediction models depending on site characteristics?
G Kariniotakis, I Martí, D Casas, P Pinson, TS Nielsen, H Madsen, ...
European Wind Energy Conference EWEC 2004, 2004
The state of the art in short term prediction of wind power-from an offshore perspective
G Kariniotakis, P Pinson, N Siebert, G Giebel, R Barthelmie
Evaluation of advanced wind power forecasting models–results of the anemos project
I Marti, G Kariniotakis, P Pinson, I Sanchez, TS Nielsen, H Madsen, ...
The Zephyr Project–The Next Generation Prediction System
G Giebel, L Landberg, TS Nielsen, H Madsen
Proc. of the 2001 European Wind Energy Conference, EWEC’01, Copenhagen …, 2001
Integrating Wind. Developing Europe’s power market for the large-scale integration of wind power
F Van Hulle, JO Tande, K Uhlen, L Warland, M Korpås, P Meibom, ...
European Wind Energy Association (EWEA), 2009
From wind ensembles to probabilistic information about future wind power production--results from an actual application
HA Nielsen, TS Nielsen, H Madsen, G Giebel, J Badger, L Landberg, ...
2006 International Conference on Probabilistic Methods Applied to Power …, 2006
Shortterm forecasting using advanced physical modelling-the results of the anemos project
G Giebel, J Badger, IM Perez, P Louka, G Kallos, AM Palomares, C Lac, ...
Proceedings of the European Wind Energy Conference, 2006
Next Generation Short-Term Forecasting of Wind Power–Overview of the ANEMOS Project.
G Kariniotakis, J Halliday, R Brownsword, I Marti, AM Palomares, I Cruz, ...
Forecast error of aggregated wind power
G Giebel, P Sørensen, H Holttinen
Risø National Laboratory, 2007
Wind-climate estimation based on mesoscale and microscale modeling: statistical–dynamical downscaling for wind energy applications
J Badger, H Frank, AN Hahmann, G Giebel
Journal of Applied Meteorology and Climatology 53 (8), 1901-1919, 2014
Wind power ensemble forecasting
HA Nielsen, H Madsen, TS Nielsen, J Badger, G Giebel, L Landberg, ...
Proceedings of the 2004 Global Windpower Conference and Exhibition, 2004
Resolving nonstationary spectral information in wind speed time series using the Hilbert–Huang transform
C Vincent, G Giebel, P Pinson, H Madsen
Journal of Applied Meteorology and Climatology 49 (2), 253-267, 2010
A variance analysis of the capacity displaced by wind energy in Europe
G Giebel
Wind Energy: An International Journal for Progress and Applications in Wind …, 2007
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