| 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 | 894 | 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 | 243 | 2003 |
| On the benefits of distributed generation of wind energy in Europe G Giebel VDI-Verlag, 2001 | 179 | 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 | 166 | 2003 |
| 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 | 155 | 1998 |
| 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 | 124 | 2014 |
| 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 | 124 | 2012 |
| 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 | 110 | 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 | 94 | 2004 |
| Evaluation of advanced wind power forecasting models–results of the anemos project I Marti, G Kariniotakis, P Pinson, I Sanchez, TS Nielsen, H Madsen, ... | 89 | 2006 |
| 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 | 85 | 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 | 77 | 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 | 68 | 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 | 68 | 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, ... | 66 | 2006 |
| 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 | 61 | 2014 |
| Forecast error of aggregated wind power G Giebel, P Sørensen, H Holttinen Risø National Laboratory, 2007 | 61 | 2007 |
| 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 | 57 | 2010 |
| 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 | 57 | 2004 |
| Short-term spatio-temporal forecasting of photovoltaic power production XG Agoua, R Girard, G Kariniotakis IEEE Transactions on Sustainable Energy 9 (2), 538-546, 2017 | 56 | 2017 |
Henrik MadsenProfessor, PhD, DTU Compute, Technical University of DenmarkBekræftet mail på dtu.dk
