Day-ahead wind power forecasting based on the clustering of equivalent power curves

Wind power prediction (WPP) has developed in recent years into a way to solve the strong fluctuation problems that are caused by large-scale integration. Higher prediction accuracy is important to improve power grid security and economy. Wind turbine power curves, which describe the transformation b...

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Veröffentlicht in:	Energy (Oxford) 2021-03, Vol.218, p.119515, Article 119515
Hauptverfasser:	Yang, Mao, Shi, Chaoyu, Liu, Huiyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Day-ahead prediction Equivalence Equivalent power curve Fuzzy C-Means clustering Historical account Numerical prediction Predictions Renewable energy Security Turbines Weather forecasting Wind farms Wind power Wind turbines
Online-Zugang:	Volltext
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