Abstract
Accurate prediction for electric demand has become very crucial and important for planning. Load forecasting is the prediction of the amount of electricity that should be generated to supply a specific number and kind of consumers over a specific period. Several methods are used to capture the behavior of the electric demand and use it to predict the future. An automated software using True Basic is developed. The software will fit the best autoregressive moving averages models for the given data via the dynamic data systems approach. The software uses these models to forecast the hourly load for each day. Validation and statistical results show that these forecasts are highly accurate.