A Grey Forecasting Model for Energy Demand Based on Optimized BP Neural Networks

Abstract

In order to accurately evaluate regional energy consumption and demand, the prediction model based on optimized Grey Neural Network was discussed in this paper. Considering the advantages of grey prediction model and artificial neural network model, BP neural network model was introduced to analyze the model, and genetic algorithm was used to optimize the network weight design of series model. Based on the consumption data of urban residents in a province from 2009 to 2019, the case analysis adopted the improved prediction model to test the actual demand trend of energy in the future. The results showed that the combined prediction model can reflect the development trend of energy consumption and demand in a period of time, and it had better prediction accuracy than the single prediction model. Therefore, it was feasible to apply it to complex nonlinear systems.