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Development planning of electrical power systems starts with load forecasting. Accurate load planning can be useful in appropriate expansion and development of power plants and transmission and distribution devices. In developing countries, where power demand increases more dynamically, load forecasting is even more important. In this paper, artificial neural network (ANN) is used to predict electric loads. In long-term load forecasting, economical factors are more influential than weather conditions. Weather factors were omitted in our study, to prevent noise. In this work, inputs of neural network are selected for Iran as a fast developing country and according to its particular conditions. A contribution factors is defined to specify the influence of the selected factors on the peak load. The contribution factors show a heavy dependence of the Iranian economy, and hence the peak load, on oil. Finally, 12 economic …