Electricity load forecasting based on support vector machines and simulated annealing particle swarm optimization algorithm

Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007

Volumn , Issue , 2007, Pages 2836-2841

  Wang, Jingmin ^a   Zhou, Yamin ^a   Chen, Xiaoyu ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Electricity short term load forecasting; Particle Swarm Optimization (PSO); Simulated Annealing Algorithms (SA); Support vector machine (SVM)

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PARTICLE SWARM OPTIMIZATION (PSO); SIMULATED ANNEALING; SUPPORT VECTOR MACHINES;

ELECTRICITY SHORT-TERM LOAD FORECASTING; LEARNING MACHINE; SIMULATED ANNEALING ALGORITHMS;

ELECTRIC LOAD FORECASTING;

EID: 40649095032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2007.4339064     Document Type: Conference Paper

References (20)

1. K.J. Hwan. G.W. Kim, "A short-term load forecasting expert system," in: Proceedings of the Fifth Russian-Korean International Symposium on Science and Technology, vol. 1,2001, pp. 112-116.
2. A.A. Desouky, M.M. Elkateb, "Hybrid adaptive techniques for electric load forecast using ANN and ARIMA," IEEE Proc. Gener. Transm. Distrib. 147 (4) (2000) 213-217.
3. K.H. Kim, H.A. Youn, Y.C. Kang, "Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method," IEEE Trans. Power Syst. 15 (2), pp.559-565, 2000.
4. J. Yang, J. Stenzel, "Short-term load forecasting with increment regression tree," Electric Power Systems Research, pp. 880-888, 2006
5. X.M. Li, D. Gong, L. Li, and C.Y. Sun, "Next day load forecasting using SVM," in Proc. ISNN '05, Lecture Notes in Computer Science, Springer, Berlin, pp. 634-639, 2005.
6. J. F. Yang and H. Z. Cheng, "Application of SVM to power system short term load forecasting." Electric Power Automation Equipment, vol. 24, pp. 30-32, 2004.
7. J. J. Li, X. H. Wang, "A Modified Particle Swarm Optimization Algorithm," Proceedings of the 5th World Congress on Intelligent Control and Automation, pp. 354-356, 2004.
8. H. M. Zhang, Z. N. Wei, "A short-term load forecasting approach based on PSO support vector machine," RELAY, vol. 34, no. 3, pp. 28-31, 2006.
9. J. Kennedy and R. C. Eberhart, "A discrete binary version of the particle swarm algorithm," in Proc. Int. Conf. Systems, Man, Cybernetics. Piscataway, NJ, pp. 4104-4109, 1997.
10. J. Kennedy and W. M. Spears, "Matching algorithms to problems: An experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator," in Proc. Int. Conf. Evolutionary Computation. Piscataway, NJ, pp. 78-83, 1998.
11. D. Yi, X. R. Ge, "An improved PSO-based ANN with simulated annealing technique," Neurocomputing, vol. 63, pp. 527-533, 2005.
12. S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, "Optimization by simulated annealing," Science 220, pp. 671-680, 1983.
13. Dekkers A. Aarts EHL. "Global optimization and simulated annealing. Math Program," vol. 50, pp. 367-393, 1991.
14. Van Laarhoven PJM, Aarts EHL. "Simulated annealing: Theory and applications," Dordrecht: Kluwer Academic Publishers, 1987.
15. J. F. Yang, H. Z. Cheng, "Application of SVM to power system short term load forecasting." Electric Power Automation Equipment, vol. 24, pp.30-32, 2004.
16. L. Cao, Q. Gu. "Dynamic support vector machines for non-stationary time series forecasting," Intell Data Anal, vol. 6, pp. 67-83, 2002.
17. Tay FEH, L. Cao. "Modified support vector machines in financial time series forecasting. Neurocomputing", vol. 48, pp. 847-861, 2002.
18. L. L. Fan, X. C. Ren, and G. L. Tong, "Short-term Load Forecasting Based on Improved Back-Propagation Algorithm", Journal of Tai Yuan University of Technology, vol. 34, no. 2, pp. 200-202, 2003.
19. Q.C Lu, W.M. Grady, M.M. Crawford, "An adaptive algorithm for short-term multimode load forecasting in power systems." IEEE Trans. Circuits Syst. 35, pp. 1004-1010, 1988.
20. F.P. Ping and C.H. Wei, "Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms," Electric Power Systems Research, vol. 74, pp. 417-425, 2005