Effective model for next day load curve forecasting based upon combination of perceptron and kohonen ANNs applied to iran power network

Abstract

A novel hybrid neural network model to the problem of short-term load forecasting (STLF) is proposed in this paper. The electric load is strongly related to metrological conditions and forecast models depend on climatic studies. The most used variable is the air temperature, because there is a close relation between thermal state of well being and the… (More)

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Cite this paper

@article{Farhadi2007EffectiveMF, title={Effective model for next day load curve forecasting based upon combination of perceptron and kohonen ANNs applied to iran power network}, author={Morteza Farhadi and S. N. Moghaddas Tafreshi}, journal={INTELEC 07 - 29th International Telecommunications Energy Conference}, year={2007}, pages={267-273} }