Paper Title:
Application Optimization of Grey Model in Power Load Forecasting
  Abstract

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)
Chapter
Chapter 1: Development and Utilization of Solar Energy
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, 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
$32.00
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