摘要
针对常规预测中的节假日预测精度低的缺点,提出了一种基于BP神经网络的地铁能耗预测模型,实现了正常日和节假日的分别预测。以某市地铁能耗统计数据作为样本,对模型进行了仿真预测。结果表明,利用本文预测模型,确实提高了地铁的节假日能耗预测精度。
According to the disadvantage of low precision of the conventional prediction of holiday forecast,a BP neural network forecasting model of the subway＇s holiday energy consumption is proposed,which can predict normal days and holidays respectively.The subway＇s statistical data of energy consumption in some city as samples,this paper has simulated the model prediction.The results show that,by using the prediction model,it can improve the prediction accuracy of subway holiday consumption.
出处
《工业控制计算机》
2013年第11期97-98,共2页
Industrial Control Computer
关键词
BP神经网络
地铁节假日能耗
预测模型
the BP neural network,the subway,holiday forecast of energy consumption,the forecast model
