Electrical Load Forecast of Data Mining Model in Smart Grid
Cai Yu-fei · Journal of North China Institute of Water Conservancy and Hydroelectric Power · 2011
Based on data mining theory to collect and integrate data,using improved BP neu ral network model to process the grid data,and a electrical load model was esta blished to forcast the short-term electrical load.Through different precision experiments,the high-precision forcast result is better than the low-precisio n forcast result,the maximum error is reduced by 80%,it is proved that the mod el suits to the practical.