The Research Based on RBF Neural Network in the Power of Prediction of Grain Depot

摘要：

　　According to the fact that the use of electricity in grain depot is nonlinear time series,the article introduces the prediction model of electricity based on Radial Basis Function Neural Network,and conducts the modeling and prediction by adopting the historical electricity consumption of a typical grain depot.As the result of simulation shows,the model obtains better forecasting results in grain depot electricity.

关键词： RBF neural network Grain depot power load forecasting time sedes

作者: Xiao Le Hu Minpeng

作者单位: Henan University of Technology,Zhengzhou 450001,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1358-1361

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）