Short-term wind power forecasting using adaptive neuro-fuzzy inference system combined with evolutionary particle swarm optimization, wavelet transform and mutual information

The non-stationary and stochastic nature of wind power reveals itself a difficult task to forecast and manage. In this context, with the continuous increment of wind farms and their capacity production in Portugal, there is an increasing need to develop new forecasting tools with enhanced capabiliti...

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Veröffentlicht in:	Renewable energy 2015-03, Vol.75, p.301-307
Hauptverfasser:	Osório, G.J., Matias, J.C.O., Catalão, J.P.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Evolutionary Evolutionary particle swarm optimization Forecasting Methodology Mutual information Neuro-fuzzy system Swarm intelligence Wavelet transform Wavelet transforms Wind power
Online-Zugang:	Volltext
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