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).