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http://dx.doi.org/10.5351/KJAS.2013.26.2.349

Daily Peak Load Forecasting for Electricity Demand by Time series Models  

Lee, Jeong-Soon (Department of Applied Statistics, Chung-Ang University)
Sohn, H.G. (Department of Applied Statistics, Chung-Ang University)
Kim, S. (Department of Applied Statistics, Chung-Ang University)
Publication Information
The Korean Journal of Applied Statistics / v.26, no.2, 2013 , pp. 349-360 More about this Journal
Abstract
Forecasting the daily peak load for electricity demand is an important issue for future power plants and power management. We first introduce several time series models to predict the peak load for electricity demand and then compare the performance of models under the RMSE(root mean squared error) and MAPE(mean absolute percentage error) criteria.
Keywords
Seasonal AR-GARCH; Holt-Winters; Reg-ARIMA; electricity demand; peak load;
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