%0 Journal Article %A Mohsen Hayati and Yazdan Shirvany %D 2007 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 4, 2007 %T Artificial Neural Network Approach for Short Term Load Forecasting for Illam Region %U https://publications.waset.org/pdf/554 %V 4 %X In this paper, the application of neural networks to study the design of short-term load forecasting (STLF) Systems for Illam state located in west of Iran was explored. One important architecture of neural networks named Multi-Layer Perceptron (MLP) to model STLF systems was used. Our study based on MLP was trained and tested using three years (2004-2006) data. The results show that MLP network has the minimum forecasting error and can be considered as a good method to model the STLF systems. %P 667 - 671