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The Performance of Time Series Models to Forecast Short-Term Electricity Demand
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 Title & Authors
The Performance of Time Series Models to Forecast Short-Term Electricity Demand
Park, W.G.; Kim, S.;
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In this paper, we applied seasonal time series models such as ARIMA, FARIMA, AR-GARCH and Holt-Winters in consideration of seasonality to forecast short-term electricity demand data. The results for performance evaluation on the time series models show that seasonal FARIMA and seasonal Holt-Winters models perform adequately under the criterion of Mean Absolute Percentage Error(MAPE).
Seasonal FARIMA;AR-GARCH;ARIMA;Holt-Winters;Electricity Demand;
 Cited by
예측 기반의 물류관리시스템 최적 저장위치 결정모형,송인성;조남욱;

한국SCM학회지, 2015. vol.15. 1, pp.1-7
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