Fine tuning support vector machines for short-term wind speed forecasting

@inproceedings{Zhou2011FineTS,
  title={Fine tuning support vector machines for short-term wind speed forecasting},
  author={Junyi Zhou and Jing Shi and Gong Li},
  year={2011}
}
Abstract Accurate forecasting of wind speed is critical to the effective harvesting of wind energy and the integration of wind power into the existing electric power grid. Least-squares support vector machines (LS-SVM), a powerful technique that is widely applied in a variety of classification and function estimation problems, carries great potential for the application of short-term wind speed forecasting. In this case, tuning the model parameters for optimal forecasting accuracy is a… CONTINUE READING

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