Energy consumption forecasting using support vector machines for Beijing

2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010

Volumn , Issue , 2010, Pages

  Tan, Qin Liang ^a   Yuan, Hai Zhen ^a   Tan, Ya Kun ^a   Zhang, Xing Ping ^a   Li, Xiang Feng ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b China National Coal Group Corp   (China)

Author keywords

Economic growth; Energy consumption; Multivariate time series; Support vector machines

Indexed keywords

CAPITAL STOCK; DEPENDENT VARIABLES; ECONOMIC GROWTHS; EMPIRICAL RESULTS; ENERGY CONSUMPTION; GAUSSIAN RADIAL BASIS FUNCTIONS; HIGH DIMENSIONS; INDEPENDENT VARIABLES; KERNEL FUNCTION; MULTI VARIABLES; MULTIVARIATE TIME SERIES; PER CAPITA; SMALL SAMPLES; SUPPORT VECTOR;

ECONOMIC AND SOCIAL EFFECTS; ECONOMICS; ELECTRIC LOAD FORECASTING; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TIME SERIES; VECTORS;

ENERGY UTILIZATION;

EID: 78651513056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEEE.2010.5660409     Document Type: Conference Paper

References (10)

1. Taylor J W, and Buizza R, "Neural network load forecasting with weather ensemble predictions", IEEE Trans.Power Syst., 2002, 17 (3), pp.626-632. (Pubitemid 35151735)
2. Liu Mengliang, Liu Xiaohua, and Gao Rong, "Short term load forecasting using wavelet transform and SVM based on similar-days", Transactions of China Electrotechnical Society, 2006, 21(11), pp. 59-63.
3. Xie Hong, Wei Jiangping, and Liu Heli, "Parameter selection and optimization method of SVM model for short-term load forecasting", Proceedings of the CSEE, 2006, 26 (22), pp. 17-22.
4. Zhang Qian-jin, "Research on Electric-Power Load Forecasting Based on Support Vector Machine Regression Technique", Aeronautical Computing Technique. 2006, 36 (4), pp.105-110.
5. Xie Hong, Chen Zhiye, and Niu Dongxiao, "Research on a daily load forecasting model based on wavelet decomposition and climatic influence", Proceedings of the CSEE, 2001, 21(5), pp.5-10.
6. Zhao Dengfu, Pang Wenchen, and Zhang Jiangshe, "SVM for short term load forecasting based on Bayesian theory and online learning", Proceedings of the CSEE, 2005, 25(13), pp.8-13.
7. Huang Yuansheng, Zheng Yan, and Qi Jianxun, "The application of electric power demand forecasting based on LS-SVM", Chinese Journal of Management Science, 2005,10, pp. 47-56
8. Wang Xiaohong, and Wu Dehui, "An annual electric consumption forecasting model based on least- square support vector machines", Relay,2006,16,pp. 96-103.
9. Xingping Zhang, and Xiaomei Chen, "Energy consumption, carbon emissions, and economic growth in China", Ecological Economics, 2009,68(10) : 2706-2712.
10. V Cherkassky, Y Ma, "Practical selection of SVM parameters and noise estimation for SVM regressions", Neural Networks, 2004, 17(1), pp.113-126.