한국태양에너지학회:학술대회논문집
- 한국태양에너지학회 2008년도 추계학술발표대회 논문집
- /
- Pages.288-293
- /
- 2008
시계열 자료 분석기법에 의한 풍속 예측 연구
Estimation Model of Wind speed Based on Time series Analysis
-
Kim, Keon-Hoon
(Korea Institute of Energy Research)
;
- Jung, Young-Seok (Korea Institute of Energy Research) ;
-
Ju, Young-Chul
(Korea Institute of Energy Research)
- 발행 : 2008.11.14
초록
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.
키워드