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
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;
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
DOI :
10.1109/ICIII.2013.6703567
