Gradient boosting-based approach for short- and medium-term wind turbine output power prediction

Being able to predict the output power of wind turbines and wind farms is crucial in the process of integrating such stochastic energy sources with power systems. To support stakeholders in short- and mid-term wind power prediction, a novel data-driven Machine Learning based approach is proposed. Th...

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Veröffentlicht in:	Renewable energy 2023-02, Vol.203, p.142-160
Hauptverfasser:	Sobolewski, Robert Adam, Tchakorom, Médane, Couturier, Raphaël
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Electric power Engineering Sciences GEOS FP Gradient boosting Machine Learning MERRA-2 Short-and medium-term prediction Wind power
Online-Zugang:	Volltext
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