A multi-time-scale approach is proposed for electric power demand forecasting.
Historical load is modeled as a time-series with multiple seasonality levels.
Each seasonal cycle of load data is studied without additional input.
Akaike/Bayesian information criteria is used for accuracy evaluation.
Box-Jenkins method is enhanced for modeling the load data over a time period.