Elman neural network model for short term load forecasting based on improved demand response factor

In order to adapt to the policy of electricity reform and to improve the prediction accuracy of short-term power load, a demand response model is introduced, and the influencing factors of demand response are introduced in the traditional input. According to the Elman neural network is easy to fall into local extremum, improve its incentive function to optimize the prediction model. In order to establish the Elman neural network model for short term load forecasting based on improved demand response factor.