KEPCO Journal on Electric Power and Energy

Korea Electric Power Corporation (한국전력공사)
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Study on the Prediction of Wind Power Outputs using Curvilinear Regression

곡선회귀분석을 이용한 풍력발전 출력 예측에 관한 연구

  • Choy, Youngdo (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Jung, Solyoung (Department of Energygrid, Sangmyung University) ;
  • Park, Beomjun (Department of Energygrid, Sangmyung University) ;
  • Hur, Jin (Department of Energygrid, Sangmyung University) ;
  • Park, Sang ho (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Yoon, Gi gab (KEPCO Research Institute, Korea Electric Power Corporation)
  • Received : 2016.07.11
  • Accepted : 2016.11.03
  • Published : 2016.12.30
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Abstract

Recently, the size of wind farms is becoming larger, and the integration of high wind generation resources into power gird is becoming more important. Due to intermittency of wind generating resources, it is an essential to predict power outputs. In this paper, we introduce the basic concept of curvilinear regression, which is one of the method of wind power prediction. The empirical data, wind farm power output in Jeju Island, is considered to verify the proposed prediction model.

Keywords

References

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