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


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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.



Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong






W. Li et al., "The Mid-Long Term Power Load Forecasting Based on Gray and SVM Algorithm", Advanced Materials Research, Vols. 143-144, pp. 1164-1169, 2011

Online since:

October 2010




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DOI: 10.1109/icnc.2007.336

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