George Kariniotakis
George Kariniotakis
Professor MINES ParisTech. Head of Renewable Energies & SmartGrids Group
Verified email at mines-paristech.fr - Homepage
Title
Cited by
Cited by
Year
The state-of-the-art in short-term prediction of wind power. A literature overview
G Giebel, C Draxl, R Brownsword, G Kariniotakis, M Denhard
9562011
Trading wind generation from short-term probabilistic forecasts of wind power
P Pinson, C Chevallier, GN Kariniotakis
IEEE Transactions on Power Systems 22 (3), 1148-1156, 2007
6412007
Wind power forecasting using advanced neural networks models
GN Kariniotakis, GS Stavrakakis, EF Nogaret
IEEE transactions on Energy conversion 11 (4), 762-767, 1996
5021996
Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering
P Louka, G Galanis, N Siebert, G Kariniotakis, P Katsafados, I Pytharoulis, ...
Journal of Wind Engineering and Industrial Aerodynamics 96 (12), 2348-2362, 2008
4462008
Standardizing the performance evaluation of short-term wind power prediction models
H Madsen, P Pinson, G Kariniotakis, HA Nielsen, TS Nielsen
Wind engineering 29 (6), 475-489, 2005
4322005
Standardizing the performance evaluation of short-term wind power prediction models
H Madsen, P Pinson, G Kariniotakis, HA Nielsen, TS Nielsen
Wind engineering 29 (6), 475-489, 2005
4322005
Non‐parametric probabilistic forecasts of wind power: required properties and evaluation
P Pinson, HA Nielsen, JK Møller, H Madsen, GN Kariniotakis
Wind Energy: An International Journal for Progress and Applications in Wind …, 2007
3222007
Conditional prediction intervals of wind power generation
P Pinson, G Kariniotakis
IEEE Transactions on Power Systems 25 (4), 1845-1856, 2010
3032010
A general simulation algorithm for the accurate assessment of isolated diesel-wind turbines systems interaction. I. A general multimachine power system model
GS Stavrakakis, GN Kariniotakis
IEEE transactions on Energy Conversion 10 (3), 577-583, 1995
2451995
Management of microgrids in market environment
ND Hatziargyriou, A Dimeas, AG Tsikalakis, JAP Lopes, G Karniotakis, ...
2005 International Conference on Future Power Systems, 7 pp.-7, 2005
2282005
Microgrids–large scale integration of microgeneration to low voltage grids
N Hatziargyriou, N Jenkins, G Strbac, JAP Lopes, J Ruela, A Engler, ...
CIGRE C6-309, 1-8, 2006
2152006
Probabilistic short-term wind power forecasting for the optimal management of wind generation
J Juban, N Siebert, GN Kariniotakis
2007 IEEE Lausanne Power Tech, 683-688, 2007
1782007
State-of-the-art Methods and software tools for short-term prediction of wind energy production
G Giebel, L Landberg, G Kariniotakis, R Brownsword
EWEC 2003 (European Wind Energy Conference and exhibition), 2003
1732003
Wind power forecasting using fuzzy neural networks enhanced with on-line prediction risk assessment
P Pinson, GN Kariniotakis
2003 IEEE Bologna Power Tech Conference Proceedings, 2, 8 pp. Vol. 2, 2003
1702003
On‐line assessment of prediction risk for wind power production forecasts
P Pinson, G Kariniotakis
Wind Energy: An International Journal for Progress and Applications in Wind …, 2004
1682004
Skill forecasting from ensemble predictions of wind power
P Pinson, HA Nielsen, H Madsen, G Kariniotakis
Applied Energy 86 (7-8), 1326-1334, 2009
1432009
Forecasting ramps of wind power production with numerical weather prediction ensembles
A Bossavy, R Girard, G Kariniotakis
Wind Energy 16 (1), 51-63, 2013
1412013
Probabilistic short-term wind power forecasting based on kernel density estimators
J Juban, L Fugon, G Kariniotakis
European Wind Energy Conference and exhibition, EWEC 2007, http …, 2007
1242007
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, ...
CD-Rom proceedings of the European wind energy conference EWEC, 2004
1122004
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
SeaTech Week-Ocean Energy Conference ADEME-IFREMER, 2004
1002004
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