Artificial Neural Network Approach for Short Term Load Forecasting for Illam Region
نویسندگان
چکیده
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. Keywords—Artificial neural networks, Forecasting, Multi-layer perceptron.
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