SARIMA 모형을 이용한 태양광 발전량 예보 모형 구축
Solar Power Generation Forecast Model Using Seasonal ARIMA
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참고문헌
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초록
New and renewable energy forecasts are key technology to reduce the annual operating cost of new and renewable facilities, and accuracy of forecasts is paramount. In this study, we intend to build a model for the prediction of short-term solar power generation for 1 hour to 3 hours. To this end, this study applied two time series technique, ARIMA model without considering seasonality and SARIMA model with considering seasonality, comparing which technique has better predictive accuracy. Comparing predicted errors by MAE measures of solar power generation for 1 hour to 3 hours at four locations, the solar power forecast model using ARIMA was better in terms of predictive accuracy than the solar power forecast model using SARIMA. On the other hand, a comparison of predicted error by RMSE measures resulted in a solar power forecast model using SARIMA being better in terms of predictive accuracy than a solar power forecast model using ARIMA.
Abstract
New and renewable energy forecasts are key technology to reduce the annual operating cost of new and renewable facilities, and accuracy of forecasts is paramount. In this study, we intend to build a model for the prediction of short-term solar power generation for 1 hour to 3 hours. To this end, this study applied two time series technique, ARIMA model without considering seasonality and SARIMA model with considering seasonality, comparing which technique has better predictive accuracy. Comparing predicted errors by MAE measures of solar power generation for 1 hour to 3 hours at four locations, the solar power forecast model using ARIMA was better in terms of predictive accuracy than the solar power forecast model using SARIMA. On the other hand, a comparison of predicted error by RMSE measures resulted in a solar power forecast model using SARIMA being better in terms of predictive accuracy than a solar power forecast model using ARIMA.
참고문헌 (8)
- Reikard, G., "Predicting Solar Radiation at High Resolutions: A Comparison of Time Series Forecasts", Solar Energy, 83, pp.342~349 (2009)
- Moreno-Muñoz, A., "Short Term Forecasting of Solar Radiation", IEEE International Symposium on Industrial Electronics (2008)
- 김삼용, "기상변수를 활용한 일사량 예측 연구", 응용통계연구, 30(6), pp.1005~1013 (2017), 한국통계학회
- Akaike, H., "A New Look at Statistical Model Identification", IEEE Transactions on Automatic Control, AU-19, pp.716~722 (1974)
- Schwarz, G., "Estimating the Dimension of a Model", Annals of Statistics, 6, pp.461~464 (1978)
- 민경창, "계절성 ARIMA 모형을 이용한 항공화물 수요예측: 인천국제공항발 유럽항공노선을 중심으로", 대한교통학회지, 31(3), pp.3~18 (2013), 대한교통학회
- 김현구, "제주도 일단위 풍력발전예보 모형개발을 위한군집분석 및 기상통계모형 실험", 한국환경과학회지, 19(10), pp.1229~1235 (2010), 한국환경과학회
- Wei, W. S., "Time Series Analysis: Univariate and Multivariate Methods", pp.394~398 (2005)