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