DocumentCode
669006
Title
The model of energy demand forecast based on support vector machine
Author
Wang Shuai ; Yong Qidong ; Liu Ye
Author_Institution
Dept. of Mil. POL Applic. & Manage. Eng., Logistical Eng. Univ., Chongqing, China
Volume
3
fYear
2013
fDate
23-24 Nov. 2013
Firstpage
267
Lastpage
269
Abstract
The basic theory and algorithm of support vector machine is analyses, the input sample of forecasting model of energy demand is determined, forecast model of support vector machine of energy demand is structured, the model is solved by LibSVM toolbox programming, and the case analysis of the model provide that it is a quantitative method for the scientific forecast of energy consumption.
Keywords
demand forecasting; energy consumption; support vector machines; LibSVM toolbox programming; case analysis; energy consumption; energy demand forecast; forecasting model; scientific forecast; support vector machine; Analytical models; Data models; Energy consumption; Kernel; Predictive models; Support vector machines; Training; energy demand; forecast; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-3985-5
Type
conf
DOI
10.1109/ICIII.2013.6703567
Filename
6703567
Link To Document