articleTop 1% cited
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Renewable Energy · 2016 · Vol. 94 · pp. 629–636
Shouxiang Wang✉(Tianjin University)Na Zhang(Hulunbuir University)Lei Wu(Clarkson University)Yamin Wang(Clarkson University)
Energy Load and Power ForecastingMachine Fault Diagnosis TechniquesGrey System Theory ApplicationsHilbert–Huang transformArtificial neural networkWind speedWind powerComputer scienceMode (computer interface)MATLABAlgorithmArtificial intelligenceEngineering
Funding
- National Natural Science Foundation of China
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667
FWCI
34.68
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References
Application of the EEMD method to rotor fault diagnosis of rotating machinery
Mechanical Systems and Signal Processing · 2008 · 576 citations
On comparing three artificial neural networks for wind speed forecasting
Applied Energy · 2010 · 698 citations
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