基于BP神经网络和灰色模型的用电量增长组合预测

The Combined Prediction of Power Demand Increase Based on Neural Network and Gray Model

采用BP神经网络和灰色模型对我国人均净用电量进行组合预测。通过以往实际数据与预测结果比较,具有较高的预测精度,证明模型的可行性,并用此模型对我国未来几年人均净用电量进行了预测。

By adopting the combined model of BP neural network and gray model, the combined prediction of the net power demand per capita in China in the coming years is made in this article. Through the comparison between actual data and predicted result, the model is proved workable with higher precision.