article Open AccessTop 1% cited
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Renewable Energy · 2011 · Vol. 37(1) · pp. 241–249
Zhenhai Guo✉(Institute of Atmospheric Physics)Weigang Zhao(Lanzhou University)Haiyan Lu(University of Technology Sydney)Jianzhou Wang(Lanzhou University)
Energy Load and Power ForecastingMachine Fault Diagnosis TechniquesGrey System Theory ApplicationsHilbert–Huang transformResidualPartial autocorrelation functionArtificial neural networkWind speedAutocorrelationSeries (stratigraphy)Mode (computer interface)Time seriesMean squared error
Funding
- National Key Research and Development Program of China
Citations
518
FWCI
19.14
field-weighted impact
References
31
Percentile
99%
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Citations per year
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References
Day-ahead wind speed forecasting using f-ARIMA models
Renewable Energy · 2008 · 925 citations
Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
Energy Economics · 2008 · 698 citations
Performance and limitations of the Hilbert–Huang transformation (HHT) with an application to irregular water waves
Ocean Engineering · 2004 · 220 citations
Forecast of hourly average wind speed with ARMA models in Navarre (Spain)
Solar Energy · 2004 · 650 citations
Support vector machines for wind speed prediction
Renewable Energy · 2004 · 743 citations
Analysis and evaluation of five short-term load forecasting techniques
IEEE Transactions on Power Systems · 1989 · 704 citations
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