articleTop 10% cited
Support vector machines for wind speed prediction
Renewable Energy · 2004 · Vol. 29(6) · pp. 939–947
Mohamed Mohandes✉(King Fahd University of Petroleum and Minerals)T.O. Halawani(King Fahd University of Petroleum and Minerals)Shafiqur Rehman(King Fahd University of Petroleum and Minerals)Ahmed A. Hussain(King Fahd University of Petroleum and Minerals)
Energy Load and Power ForecastingWind Energy Research and DevelopmentStructural Health Monitoring TechniquesSupport vector machineArtificial neural networkMultilayer perceptronWind speedPerceptronMean squared errorComputer scienceArtificial intelligenceData miningMachine learning
Funding
- King Fahd University of Petroleum and Minerals
- King Abdulaziz City for Science and Technology
Citations
743
FWCI
10.11
field-weighted impact
References
16
Percentile
99%
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Citations per year
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References
Statistical Learning Theory
Technometrics · 1999 · 26,915 citations
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