G
Georges Kariniotakis
Researcher at Mines ParisTech
Publications - 180
Citations - 6869
Georges Kariniotakis is an academic researcher from Mines ParisTech. The author has contributed to research in topics: Wind power & Wind power forecasting. The author has an hindex of 37, co-authored 164 publications receiving 6239 citations. Previous affiliations of Georges Kariniotakis include ParisTech & University of Crete.
Papers
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The state-of-the-art in short-term prediction of wind power. A literature overview
TL;DR: In this paper, the authors present the state of the art in wind power forecasting using ANEMOS.plus (Advanced Tools for the Management of Electricity Grids with Large-Scale Wind Generation) and SafeWind projects.
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Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power
TL;DR: In this article, a general methodology for deriving optimal bidding strategies based on probabilistic forecasts of wind generation, as well as on modeling of the sensitivity a wind power producer may have to regulation costs is presented.
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Wind power forecasting using advanced neural networks models
TL;DR: An advanced model, based on recurrent high order neural networks, is developed for the prediction of the power output profile of a wind park, which outperforms simple methods like persistence, as well as classical methods in the literature.
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Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering
P. Louka,P. Louka,George Galanis,George Galanis,N. Siebert,Georges Kariniotakis,Petros Katsafados,Ioannis Pytharoulis,Ioannis Pytharoulis,George Kallos +9 more
TL;DR: The results obtained showed a remarkable improvement in the model forecasting skill, with a significant reduction of the required CPU time in the case of wind power prediction.
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Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models:
TL;DR: A standardized protocol for the evaluation of short-term windpower prediction systems is proposed and a number of reference prediction models are described, and their use for performance comparison is analysed.