The Mid-Long Term Power Load Forecasting Based on Gray and SVM Algorithm

2010 ◽  
Vol 143-144 ◽  
pp. 1164-1169 ◽  
Author(s):  
Wei Li ◽  
Zhen Gang Zhang ◽  
Ning Yan

Generally, the power load forecasting sequence has stochastic growth and nonlinear wave characteristics, grey SVM can effective reflect the growth properties of the sequence and fit the nonlinear relation. The whole forecasting precision of the sequence was optimized, and the transfer matrix for the forecasting sequence was decided, then the accuracy for power load forecasting was greatly improved. Through the demonstration test, the precision is better than single method, the method in this paper have feasibility in practice.

2012 ◽  
Vol 170-173 ◽  
pp. 3472-3477
Author(s):  
Jian Li ◽  
Zhen Huan Jiang

A large part of Qinling Mountains and north of the Yellow River in China belongs to cold regions, so accurate forecasting of power load in cold regions plays an important role in economic development. This article summarizes the basic theory of power load, power load forecasting and medium and long term load forecasting power load forecasting in cold regions, studies on the affecting factors of the medium and long term power load in cold regions, proposes the study road map on the affecting factors of the medium and long term load in cold regions and analyzes empirically the medium and long term power load forecasting in the northeast of China.


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