Application of Meteorological Factors to Load Forecasting Based on ANN

Based on Artificial Neuron Network (ANN) and Fuzzy theory, an efficient method of short-term load forecasting is put forward. In it, the influences of meteorological factors on load forecasting are also concerned. The method applies eight meteorological factors day by day in nine cities and corresponding load value day by day of Shaanxi Province from 1999 to 2001 to train and forecast load of Shaanxi Province. The results show that the new method can largely improve the precision of load forecasting.

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