Heat Load Forecasting Based on Improved AGA-BP Non-linear Combined Model

摘要：

A new combined BP neural network model based on accelerating genetic algorithm is put forward in this paper. On the foundation of traditional BP neural network, this method is given better iteration values improved by accelerating genetic algorithm, thus and increase iteration rate and avoid sinking into local minimum. Then, it is applied to forecast the heat load in a certain area, and compared with other forecasting methods. The calculation sample shows the exactitude and efficiency of this combined forecasting model.

关键词： BP AGA Power Forecasting GM(1,1) Combined Model

作者: REN Feng LIU Ying-zong DING Chao

作者单位: School of Business Administration, Tianjin University, Tianjin, 300072,China School of Business Admi School of Business Administration, Tianjin University, Tianjin, 300072, China School of Management and Engineering, Shijiazhuang University of Economics, Shijiazhuang, 050031, Ch

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）