Research on Short-term load forecasting on Elman Network

With the rapid development of electric power market transaction, short-term load forecasting for general industrial and commercial users was put forward that need to be more rapid and more accurate. In the past the research process was faced with the problem of poor stability of data volume and less, this paper proposed a short-term load forecasting model based on Elman network, and compared with the traditional Back Propagation(BP) load forecasting model. The simulation result showed that Elman prediction model could improve the prediction accuracy and reduce the prediction time. In the current application of short-term load forecasting for general commercial and industrial users, Elman prediction model has strong practicability.