Support vector machine optimized with genetic algorithm for short-term load forecasting

Proceedings - 2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008

Volumn , Issue , 2008, Pages 654-657

  Ma, Lihong ^a   Zhou, Shugong ^a   Lin, Ming ^b  

^a HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOADS; GEARS; GENETIC ALGORITHMS; IMAGE RETRIEVAL; KNOWLEDGE ACQUISITION; MULTILAYER NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

ELECTRICITY LOADS; FORECASTING ELECTRICITIES; MANAGEMENT GOALS; NON-LINEAR MAPPINGS; NONLINEAR DATUM; SHORT-TERM LOAD FORECASTING; SVM MODELS;

ELECTRIC LOAD FORECASTING;

EID: 62449287707     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KAM.2008.67     Document Type: Conference Paper

References (9)

1. Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines. Cambridge University Press
2. K G. Gross and F.D. Galiana: "Short term load forecasting", Prm. IEEE, Vol. 75, No 12, pp. 1558-1573, 1987.
3. Wang Zhiyong, Guo Chuangxin, Cao Yijia. A method for short term load forecasting integrating fuzzy-rough set with artificial neural network.[J]. Proceedings of the CSEE, 200525(19):7-11
4. Novak B. Superfast auto-configuring artificial neural networks and their application to power systems. Electric Power Syst Res 1995;35:11-6.
5. Vojislav K. Learning and soft computing-Support vector machines, Neural Networks and Fuzzy Logic Models. Massachusetts: The MIT Press; 2001.
6. Christiani N, Shawe-Taylor J. An introduction to support vector machines. Cambridge: Cambridge University Press; 2000.
7. Dillon TS, Morsztyn K, Phua K. Short term load forecasting using adaptive pattern recognition and selforganizing techniques. In: Proceedings of the fifth world power system computation conference (PSCC-5), September 1975, Cambridge, paper 2.4/3, p. 1-15.
8. Dillon TS, Sestito S, Leung S. Short term load forecasting using an adaptive neural network. J Elect Power Energy Sys 1991;13(4): 186-92.
9. Cercignani C. The Boltzmann equation and its applications. Berlin: Springer-Verlag; 1988.