Input dimension reduction for load forecasting based on support vector machines

Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)

Volumn 2, Issue , 2004, Pages 510-514

  Xu, Tao ^a   He, Renmu ^b   Wang, Peng ^a   Xu, Dongjie ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b NONE

Author keywords

Feature selection; Floating search; Load forecasting; Support vector machine

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; REGRESSION ANALYSIS; SET THEORY; VECTORS;

FEATURE SELECTION; FLOATING SEARCH; REGRESSION MODELS; SUPPORT VECTOR MACHINES;

ELECTRIC LOAD FORECASTING;

EID: 8644284260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. S. R. Gunn. "Support Vector Machines for Classification and Regression," Technical Report, Image Speech and Intelligent Systems Research Group, University of Southampton, 1997
2. P. Pudil, J. Novovicova, and J. Kittler. "Floating Search Methods in Feature Selection," Pattern Recognition Letters, vol. 15, pp. 1,119-1,125, Nov. 1994.
3. N.Vapnik. "The nature of statistical learning theory". New York: Springer, 1995
4. World-wide competition within the EUNITE network, EUNITE competition Report, Company behind: East-Slovakia Power Distribution Company Available: http://neuron.tuke.Sk/competition/index. php
5. David Esp. "Adaptive Logic Networks for East Slovakian Electrical Load Forecasting," EUNITE competition Report, Company behind: East-Slovakia Power Distribution Company.