An online transfer learning model for wind turbine power prediction based on spatial feature construction and system-wide update

Accurate prediction of wind turbine power is important for the safe operation of wind farms. However, most of the previous online transfer learning methods are partially updated and time-consuming. Here we propose a novel system-wide update online transfer learning model to overcome these shortcomin...

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Veröffentlicht in:	Applied energy 2023-06, Vol.340, p.121049, Article 121049
Hauptverfasser:	Liu, Ling, Wang, Jujie, Li, Jianping, Wei, Lu
Format:	Artikel
Sprache:	eng
Schlagworte:	energy neural networks Online update prediction spatial data Transfer learning wind Wind turbine power wind turbines
Online-Zugang:	Volltext
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