会议专题

Research on the Middle and Long Term Power Load Forecasting Based on the Equal Dimensional New Information Gray Model

It will be helpful for planning, designing and investing on electric system to improve the accuracy of the middle and long term power load forecasting. The accurate prediction result will bring huge economic and social benefit. This article analyzes the application of the traditional grey model GM (1,1) in power load prediction, and uses a method that applies the idea of equal dimensional new information to traditional grey GM (1,1) mode) due to the shortcoming that accuracy predicting the long term data is low. This method uses the first number as the original data to predict the rest data to improve the accuracy of prediction. The experiment result shows that the new model can predict the middle and long term data more accurate than traditional one.

electric system middle and long term power load prediction grey GM (1 1) model equal dimensional new information

NTU Dongxiao WANG Guanqing ZHOU Kun

School of Economics and Management North China Electric Power University Beijing, China Department of Economics and Management North China Electric Power University Baoding, China

国际会议

2011 3rd International Conference on Computer Engineering and Applications(2011第三届计算机工程与应用国际会议 ICCEA2011)

海口

英文

208-210

2011-07-15(万方平台首次上网日期,不代表论文的发表时间)