Power load forecasts based on hybrid PSO with Gaussian and adaptive mutation and Wv-SVM

Expert Systems with Applications

Volumn 37, Issue 1, 2010, Pages 194-201

  Wu, Qi ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Adaptive mutation; Gaussian mutation; Load forecasts; Particle swarm optimization; Wv SVM

Indexed keywords

ADAPTIVE MUTATION; GAUSSIAN MUTATION; GAUSSIANS; HYBRID PARTICLE SWARM OPTIMIZATION; HYBRID PSO; LOAD FORECAST; LOAD FORECASTING MODEL; LOAD FORECASTS; MOTHER WAVELETS; OPTIMAL PARAMETER; POWER LOAD; STANDARD PSO; V-SUPPORT VECTOR MACHINE; WAVELET KERNEL FUNCTIONS; WV-SVM;

PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES;

ELECTRIC LOAD FORECASTING;

EID: 70349464481     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.05.011     Document Type: Article

References (26)

1. Benaouda D., Murtagh F., Starck J.L., and Renaud O. Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting. Neurocomputing 70 1-3 (2006) 139-154
2. Chenhui, L. (1987). Theory and method of load forecasting of power systems. Ha'erbin Institute of Technology Press.
3. Feng S., and Xu L. An intelligent decision support system for fuzzy comprehensive evaluation of urban development. Expert Systems with Applications 16 1 (1999) 21-32
4. Hong W.C. Electric load forecasting by support vector model. Applied Mathematical Modelling 33 5 (2009) 2444-2454
5. Kennedy J., and Eberhart R. Particle swarm optimization. IEEE International Conference on Neural Networks, Australia (1995) 1942-1948
6. Liang R.H. Application of grey linear programming to short-term hydro scheduling. Electric Power Systems Research 41 3 (1997) 159-165
7. Lin S.W., Ying K.C., Chen S.C., and Lee Z.J. Particle swarm optimization for parameter determination and feature selection of support vector machines. Expert Systems with Applications 35 4 (2008) 1817-1824
8. Mercer J. Functions of positive and negative type and their connection with the theory of integral equation, Philos. Transactions of the Royal Society of London A-209 (1909) 415-446
9. Pai P.F., and Hong W.C. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Conversion and Management 46 17 (2005) 2669-2688
10. Santos P.J., Martins A.G., and Pires A.J. Designing the input vector to ANN-based models for short-term load forecast in electricity distribution systems. International Journal of Electrical Power and Energy Systems 29 4 (2007) 338-347
11. Shen Q., Shi W.M., Kong W., and Ye B.X. A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification. Talanta 71 4 (2007) 1679-1683
12. Smola A., and Scholkopf B. The connection between regularization operators and support vector kernels. Neural Network 11 (1998) 637-649
13. Topalli A.K., Erkmen I., and Topalli I. Intelligent short-term load forecasting in Turkey. International Journal of Electrical Power and Energy Systems 28 7 (2006) 437-447
14. Vapnik V. The Nature of Statistical Learning (1995), Springer, New York
15. Wu Q. The forecasting model based on wavelet v-support vector machine. Expert Systems with Applications 36 4 (2009) 7604-7610
16. Wu Q., Liu J., Xiong F.L., and Liu X.J. The fuzzy wavelet classifier machine with penalizing hybrid noises from complex diagnosis system. Acta Automatica Sinica 35 6 (2009) 773-779 (in Chinese)
17. Wu C.H., Tzeng G.H., and Lin R.H. A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression. Expert Systems with Applications 36 3 (2009) 4725-4735
18. Wu Q., and Yan H.S. Forecasting method based on support vector machine with Gaussian loss function. Computer Integrated Manufacturing Systems 15 2 (2009) 306-312 (in Chinese)
19. Wu, Q., & Yan, H. S. (in press). Product sales forecasting model based on robust v-support vector machine. Computer Integrated Manufacturing Systems (in Chinese).
20. Wu Q., Yan H.S., and Wang B. The product sales forecasting model based on robust wavelet v-support vector machine. Acta Automatica Sinica 37 7 (2009) 1227-1232 (in Chinese)
21. Wu, Q., Yan, H. S., & Yang, H. B. (2008a). A hybrid forecasting model based on chaotic mapping and improved support vector machine. In: Proceedings of the ninth international conference for young computer scientists, (pp. 2701-2706).
22. Wu, Q., Yan, H. S., & Yang, H. B. (2008b). A forecasting model based support vector machine and particle swarm optimization. In: Proceedings of the 2008 workshop on power electronics and intelligent transportation system, (pp. 218-222).
23. Yang X.M., Yuan J.S., Yuan J.Y., and Mao H. A modified particle swarm optimizer with dynamic adaptation. Applied Mathematics and Computation 189 (2007) 1205-1213
24. Ying L.C., and Pan M.C. Using adaptive network based fuzzy inference system to forecast regional electricity loads. Energy Conversion and Management 49 2 (2008) 205-211
25. Yuan S.F., and Chu F.L. Fault diagnostics based on particle swarm optimization and support vector machines. Mechanical Systems and Signal Processing 21 4 (2007) 1787-1798
26. Zhao L., and Yang Y. PSO-based single multiplicative neuron model for time series prediction. Expert Systems with Applications 36 2 (2009) 2805-2812