%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