Double ensemble system for wind energy forecasting based on generalized autoregressive conditional heteroskedasticity and neural network models with variational mode decomposition

With the steady integration of wind energy into electricity networks, precise wind speed forecasting is an essential element in the administration and management of power systems. However, wind energy forecasting research has focused increasingly on short-term forecasting, leaving aside the challeng...

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Publicat:	2001
Matèries:	Wind speed forecasting time-series analysis conditional heteroskedasticity neural network
Accés en línia:	http://hdl.handle.net/10872/23397
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