한국태양에너지학회:학술대회논문집

The Korean Solar Energy Society (한국태양에너지학회)
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Estimation Model of Wind speed Based on Time series Analysis

시계열 자료 분석기법에 의한 풍속 예측 연구

  • 김건훈 (한국에너지기술연구원 풍력발전연구단) ;
  • 정영석 (한국에너지기술연구원 풍력발전연구단) ;
  • 주영철 (한국에너지기술연구원 풍력발전연구단)
  • Published : 2008.11.14
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Abstract

A predictive model of wind speed in the wind farm has very important meanings. This paper presents an estimation model of wind speed based on time series analysis using the observed wind data at Hangyeong Wind Farm in Jeju island, and verification of the predictive model. In case of Hangyeong Wind Farm and Haengwon Wind Farm, The ARIMA(Autoregressive Integrated Moving Average) predictive model was appropriate, and the wind speed estimation model was developed by means of parametric estimation using Maximum likelihood Estimation.

Keywords