Optimization combination forecast method of SVM and WNN for power load forecasting

Proceedings - 4th International Joint Conference on Computational Sciences and Optimization, CSO 2011

Volumn , Issue , 2011, Pages 249-253

  Zhang, Qian ^a   Lai, Kin Keung ^b   Niu, Dongxiao ^c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Power load forecasting; SVM; WNN

Indexed keywords

FORECAST ACCURACY; FORECAST MODEL; FORECASTING MODELS; OPTIMIZATION COMBINATION; POWER LOAD; POWER LOAD FORECASTING; SVM; WAVELET NEURAL NETWORKS; WNN;

FORECASTING; NEURAL NETWORKS; OPTIMIZATION;

ELECTRIC LOAD FORECASTING;

EID: 80052007146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2011.193     Document Type: Conference Paper

References (14)

1. Hippert HS, Pedreira CE, Castro R, "Neural networks for shorttermload forecasting: a review and evaluation", IEEE Trans Power Sys, 2001, Vol. 16, No. 1, pp.44-55. (Pubitemid 32297468)
2. Li Yuan-cheng, Fang Ting-jian, Yu Er-keng, "Study of SupportVector Machines for Short-term Load Forecasting, " Proceedings ofthe CSEE, 2003, Vol. 23, No. 6, pp.55-59 (in Chinese).
3. Li Lin-chuan, Lv Dong, Wu Wen-jie, "A Linear Combination BasedSimplified Load Forecasting Method for Power System, " PowerSystem Technology, Vol. 26, No. 2, pp. 10-13, Dec. 2002.
4. Tomandl D., Schober A. : A Modified General Regression Neural Network with New, Efficient Training Algorithms as a Robust Black Box Tool for Data Analysis. Neural Networks, 2001, 14(8), pp. 1023-1034. (Pubitemid 32846602)
5. Srinivasan D., Chang C.S., Liew A.C.: Demand Forecasting Using Fuzzy Neural Computation, with Special Emphasis on Weekend and Public Holiday Forecasting. IEEE Transactions on Power Sys-tems, 2005, 10(4), pp. 1897-1903.
6. S. Rahman and G. Shrestha, "A priory vector based technique for load forecasting, " IEEE Trans. Power Syst., Vol. 6, pp. 1459-1464, Nov. 2003.
7. Niu Dongxiao, : Adjustment Gray Load Forecasting Model of Power System. The Journal of Gray System, 1994, 6(2), pp. 127-134.
8. Karaki S.H.: Weather Sensitive Short-term Load Forecasting Using Artificial Neural Networks and Time Series. International Journal of Power and Energy Systems, 2005, 19(3):25, pp. 1-256.
9. T. Senjyu, S. Higa, T.Yue-Jin, and K. Uezato, "Future load curve shaping based on similarity using Fuzzy logic approach, " in Proc. Int. Power Eng. Conf (IPEC), Vol. II, 2004, pp. 483-488.
10. Niu Dongxiao, : Adjustment Gray Load Forecasting Model of Power System. The Journal of Gray System, 1994, 6(2): 127-134.
11. Xie Hong, Cheng Zhiye, Niu Dong xiao. (2001).The Research of Daily Load Forecasting Model Based on Wavelet Decomposing and Climatic Influence. Proceedings of the Csee, 21(5):5-10(in Chinese).
12. Shi Donghai, Hu Xiao, Zhou Xu-sheng, 2002.Data communicating technology of single-chips from elementary course to mastering, xi'an: Xidian university press, 99 (in Chinese).
13. Li Chao-qing,. 2003. Data communicating technology about PC and single-chips with DSP, Beijing: Beihang university press, 30 (in Chinese).
14. Zhang Guo-liang, Zeng Jing, Ke Xi-zheng, etc. 2002.Fuzzy control and application of matlab, xi'an: xi'an jiaotong university press (in Chinese).