DocumentCode :
3391020
Title :
Application of grey regression model in power load forecasting
Author :
Bingyun, Zheng ; Malin, Song
Author_Institution :
Sch. of Inf. Eng., Anhui Univ. of Finance & Econ., Bengbu, China
Volume :
3
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
366
Lastpage :
369
Abstract :
Based on the GM(1, 1) theory, this paper studies the deficiency in power load forecasting. combining the regression model, the paper proprose a new method to forecast the power load. In this paper, the grey model GM(1, 1) is hybridized into the regression model. This results in grey regression model, which is explained detailedly in succession. Based on an example, the basic grey model and grey regression model are used to forecast power load and results of both models are analyzed and compared. The calculation results show that grey regression theory is credible and accurate to forecast power load.
Keywords :
load forecasting; regression analysis; grey regression model; power load forecasting; Demand forecasting; Economic forecasting; Finance; Integrated circuit modeling; Intelligent transportation systems; Load forecasting; Load modeling; Mathematical model; Power system economics; Predictive models; Forecasting; Grey regression Model; Power Load;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
Type :
conf
DOI :
10.1109/PEITS.2009.5406882
Filename :
5406882
Link To Document :
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