ABSTRACT
The major concern for every electrical utility is the ability
to provide reliable and uninterrupted service to their
customers. The challenge becomes more significant with
the fast and sharp increasing need for electric energy in the
fast developing countries such as Egypt. Load forecasting is
mandatory for planning, operation and control of power
system. This paper concerns with long term load
forecasting and presents a comparison between twomodels
when applied to the Egyptian unified network, thesemodels
are Artificial Neural Network (ANN) model and regression
model .Data preprocessing techniques have been applied
To improve forecasting accuracy of the model. Forecasting
capability of each approach is evaluated by calculating two
separate statistical evaluations of the Mean Absolute
Percentage Error (MAPE) and the Average Absolute
Percentage Error (AAVE).