摘要
采用BP神经网络和灰色模型的组合对我国未来几年的人均净用电量进行预测。通过实际数据与预测结果的比较,具有较高的精度,证明了组合模型和方法的可行性。最后对我国2008 ̄2011年的人均净用电量做了发展预测。
Accurate prediction of demand of electric power is the basis for the layout of electric power industry.With a comparison of the actual data to the result of prediction,it is proved that using combined model of BP neural network theory and grey model to predict demand of electric power per person in China is workable,with rather high precision.
出处
《黑龙江科技信息》
2008年第21期12-13,共2页
Heilongjiang Science and Technology Information
关键词
BP神经网络
灰色模型
组合预测
用电量
误差
BP artificial neural network
grey model
comblned forecast
forecast precision
demand of electric power