Application Optimization of Grey Model in Power Load Forecasting

Abstract:

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Article introduces the gray prediction GM (1,1) and the modeling process that first proposed by Professor Deng Julong. The system analyzes its advantages and disadvantages. With the development of electricity market, the importance of load forecasting is becoming increasingly obvious. An increasing demand for the accuracy of load forecasting is significant. The result traditional forecasting predicts has reference value and the method is mature. But some improvement is needed to improve prediction accuracy.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

301-305

DOI:

10.4028/www.scientific.net/AMR.347-353.301

Citation:

L. X. Dai and F. F. Hu, "Application Optimization of Grey Model in Power Load Forecasting", Advanced Materials Research, Vols. 347-353, pp. 301-305, 2012

Online since:

October 2011

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Price:

$35.00

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