Applying support vector machine method to forecast electricity consumption

2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

Volumn 1, Issue , 2006, Pages 929-932

  Yang, Shu Xia ^a   Wang, Yi ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; ELECTRIC POWER UTILIZATION; FORECASTING; STATISTICAL METHODS;

ELECTRICITY CONSUMPTION; ELECTRICITY USAGE; INTRINSIC RULES;

SUPPORT VECTOR MACHINES;

EID: 38549174010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIAS.2006.294275     Document Type: Conference Paper

References (11)

1. S. C Müller. Predicting time series with support vector machines. Proceeding of ICANN ' 97, Spinger LNCS 1327. 99(7):999-1004, January 1997.
2. H. Guosheng. An overview of support vector machines algorithms and its application. Modern electronic technology, 99(3): 106-109, Mar 2005.
3. L. S. Hou Huifang. Credit risk assessment in commercial banks based on svm. Computer project and application, 2(7):176-178.192, January 2004.
4. B. Lin. tructural changes, efficiency improvement and electricity demand forecasting. Economics Research, (5):57-65, May 2003.
5. L. C. Liu Fujian. Credit risk assessment in commercial banks based on svm. Xiamen University journal (natural sciences version), 40(1):29-32. July 2005.
6. W. M. Q. M. Liu Yuntao, Wu Cong. The model of credit risk assessment in commercial banks based on support vector machine. Forecasting, 24(1):52-55, January 2005.
7. Z. P. L. J. Wei Xunkai. Li Yinghong. Analysis and application of time series forescasting model via support vector machines. Systems engineering and electronic technology, 27(3):529-532, Mar. 2005.
8. L. Yuancheng and so on. Study of support vector machines for short-term load forecasting. China electrical engineering journal, 23(6):55-59, Jun. 2003.
9. X. Z. Zhang Hui, Zhang Hao. Research of partner enterprise selection in supply chain management based on support vector machine. Computer Integrated Manufacturing System, 10(7):796-800, July 2004.
10. L. D. Zhao Chuang, Liu Kai. Research on application of the support vectoe machine in freight volume forecast. Journal of The China Railway Society, 26(4): 1-100, Apr. 2004.
11. L. Zunxiong. Macro load forecasting with machine learning. microelectronics and computer. 21(5): 160-162. May 2005.