Turbine-level clustering for improved short-term wind power forecasting

At the present time, new types of data are collected at a turbine level, and can be used to enhance the skill of short-term wind power forecasts. In particular, high resolution measurements such as wind power and wind speed are gathered using SCADA systems. These data can be used to build turbine-ta...

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Veröffentlicht in:	Journal of physics. Conference series 2022-05, Vol.2265 (2), p.22052
Hauptverfasser:	González Sopeña, J M, Maury, C, Pakrashi, V, Ghosh, B
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computational efficiency Computing costs Economic forecasting Mathematical models Physics Wind power Wind speed Wind turbines
Online-Zugang:	Volltext
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