Daily Peak Load Forecasting for Electricity Demand by Time series Models

被引：7
|
作者：
Lee, Jeong-Soon [1 ]
Sohn, H. G. [1 ]
Kim, S. [1 ]
机构：
[1] Chung Ang Univ, Dept Appl Stat, 221 Heukseok Dong, Seoul 156756, South Korea
来源：
KOREAN JOURNAL OF APPLIED STATISTICS | 2013年 / 26卷 / 02期
关键词：
Seasonal AR-GARCH; Holt-Winters; Reg-ARIMA; electricity demand; peak load;
D O I：
10.5351/KJAS.2013.26.2.349
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：349 / 360
页数：12
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