Steam load forecasting based on chaos theory and LSSVM

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice

Volumn 33, Issue 4, 2013, Pages 1058-1066

  Zhang, Hua Qiang ^a   Zhang, Xiao Yan ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Chaos; Forecasting; Least squares support vector machine (LSSVM); Particle swarm optimization (PSO); Simulated annealing (SA)

Indexed keywords

CHAOS CHARACTERISTICS; DELAY TIME; EMBEDDING DIMENSIONS; HIGH QUALITY; LEAST SQUARES SUPPORT VECTOR MACHINES; SIMULATED ANNEALING ALGORITHMS; STEAM LOAD; THERMAL POWER PLANTS;

CHAOS THEORY; ELECTRIC LOAD FORECASTING; FORECASTING; PARTICLE SWARM OPTIMIZATION (PSO); PHASE SPACE METHODS; SIMULATED ANNEALING; THERMOELECTRIC POWER PLANTS; TIME SERIES;

STEAM;

EID: 84878823720     PISSN: 10006788     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Zhu X L, Qi W G, Lu Y J. Heating load prediction and predictive control tactics of heat supply for building[J]. Control and Decision, 2002, 17: 703-706.
2. Zhou E Z, Fang X M. The study on heat load forecast of the heating boiler house[J]. Journal of Harbin University of Civil Engineering and Archetecture, 2000, 3(3): 56-60.
3. Yong J, Wu R. Regression analysis and prediction of house calculated load[J]. Low Voltage Apparatus, 2000(4): 37-46.
4. Wang L, Zhang H W, Yue L, et al. Application of PSO-BP model in short term prediction of urban water consumption[J]. Systems Engineering-Theory and Practice, 2007, 27(9): 165-170.
5. Hailati G, Kumashi J, Li J, et al. Prediction analysis of heat load[J]. Journal of Power Engineering, 2009, 29(1): 49-52.
6. Li Y C, Fang T J, Yu E K. Study of support vector machines for short-term load forecasting[J]. Proceedings of the CSEE, 2003, 23(6): 55-59.
7. Xie H, Wei J P, Liu H L. Parameter selection and optimization method of SVM model for short-term load forecasting[J]. Proceedings of the CSEE, 2006, 26(22): 17-22.
8. Gao Y H, Li Y B. Fault prediction model based on phase space reconstruction and least squares support vector machine[C]// Ninth International Conference on Hybrid Intelligent Systems, 2009: 464-467.
9. Liang Z S, Wang L M, Fu D P, et al. Electric power system short-term load forecasting using Lyapunov exponents technique[J]. Proceedings of the CSEE, 1998, 18(5): 368-371.
10. Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 9: 293-300.
11. Chen Q S, Zhang X, Xiong S H, et al. The combining kernel PCA with PSO-SVM for chaotic time series prediction model[C]// Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, 2009: 467-472.
12. Wang H Q, Cao C X. Parallel particle swarm optimization based on simulated annealing[J]. Control and Decision, 2005, 20(5): 500-504.