A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

Wind energy is a clean and an abundant renewable energy source. Accurate wind speed forecasting is essential for power dispatch planning, unit commitment decision, maintenance scheduling, and regulation. However, wind is intermittent and wind speed is difficult to predict. This brief proposes a nove...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2016-08, Vol.27 (8), p.1793-1798
Hauptverfasser:	Ye Ren, Suganthan, Ponnuthurai Nagaratnam, Srikanth, Narasimalu
Format:	Artikel
Sprache:	eng
Schlagworte:	Data models Decomposition Empirical mode decomposition (EMD) Forecasting Mathematical analysis Mathematical model Mathematical models Neural networks Power dispatch Predictive models Residues Support vector machines support vector regression (SVR) Vectors wind energy Wind speed wind speed forecasting
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