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In this paper, forecasting estimation for medium-term period by using Artificial Neural Network (ANN) techniques has been implemented. The actual data are obtainedfrom The Egyptian Electric Holding Company (EEHC). Thestudy focused on unexpected peaks on working days ofsummer seasons that have the dangerous effect on safety ofelectric power system. Medium-term loadforecasting is established by two plans, One-year plan and Five-years plan with different designed techniques. The input consists of many parameters such as past annual loads, population, oil price and so on. The outputs are annual loads or the energy sales or both. The results ofthese techniques are compared with output of the models calculated by EEPU. So, valuable conclusions and recommendations are obtained.