Knowledge Network Node
Renewable Energy Resources. 2014, (09) Core

Short-term wind power forecasting based on RBF-BP neural networkChinese Full Text

Zhang Kaoshe;Luo Zhao;Institute of Water Resources and Hydro-Engineering, Xi’an University of Technology;

Abstract: In order to improve precision of wind farm output power forecasting, a short-term power forecasting method based on RBF-BP combined neural network model is proposed. By considering wake and terrain factors, wind speed is pretreated. According to historical data, a short-term power forecasting model is established to predict the output power based on RBF-BP combined neural network. The simulation results show that this method can effectively improve prediction accuracy of the output power.
Keywords：

wake; terrain; RBF-BP combined neural network; short-term power forecast;

  • DOI：

    10.13941/j.cnki.21-1469/tk.2014.09.016

  • Series：

  • Subject：

  • Classification Code：

    TM614;TP183

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