Wind power ramp events classification and forecasting: A data mining approach

@article{Zareipour2011WindPR,
  title={Wind power ramp events classification and forecasting: A data mining approach},
  author={Hamidreza Zareipour and Dongliang Huang and William D. Rosehart},
  journal={2011 IEEE Power and Energy Society General Meeting},
  year={2011},
  pages={1-3}
}
Available wind power forecasting tools predict the future values of wind power production. System operators use those predictions to estimate the severity of wind power ramp up/down events, and determine the set of actions needed to manage those events. In this paper, a direct approach for predicting the severity of wind power ramp events is presented. Ramp events are categorized into ‘classes’, and available data are used to predict the class of future ramps. Support vector machines (SVM) are… CONTINUE READING

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