Grouping model application on artificial neural networks for short-term load forecasting

Abstract

With the development of our countrypsilas electricity market, power system load forecasting, especially short-term load forecasting (STLF), has been get more and more important function in the reliable, security, and economical operation of power system. The paper has introduced the principle of artificial neural networks and how we can use it to forecast… (More)

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Cite this paper

@article{Zhang2008GroupingMA, title={Grouping model application on artificial neural networks for short-term load forecasting}, author={Shunhua Zhang and Jingjing Lian and Zhiying Zhao and Huijun Xu and Jing Liu}, journal={2008 7th World Congress on Intelligent Control and Automation}, year={2008}, pages={6203-6206} }