Combined forecasting model of electricity price based on support vector machine

Dianli Zidonghua Shebei / Electric Power Automation Equipment

Volumn 28, Issue 11, 2008, Pages

  Gao, Shang ^a   Mei, Liang ^a  

^a JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Combined forecasting; Electricity price; Error; Support vector machine

Indexed keywords

ELECTRIC NETWORK ANALYSIS; ELECTRICITY; FORECASTING; IMAGE RETRIEVAL; LEARNING SYSTEMS; MATLAB; OPTIMIZATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; VECTORS;

CALIFORNIA; COMBINED FORECASTING; ELECTRICITY PRICE; ELECTRICITY PRICES; EMPIRICAL RISK MINIMIZATIONS; FORECASTING MODELS; KERNEL FUNCTIONS; NONLINEAR REGRESSION MODELS; SOURCE CODES; STRUCTURE RISK MINIMIZATIONS; STUDY CASES; SUPPORT VECTOR MACHINE; SUPPORT VECTORS; WEIGHT COEFFICIENTS;

ELECTRIC LOAD FORECASTING;

EID: 56349105659     PISSN: 10066047     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. CHEN Sijie, ZHOU Hao. Electricity price forecast methods of electricity market[J]. Relay, 2006, 34(11): 54-58.
2. HU Zhaoyang, SUN Weizhen, WANG Zhen, et al. Short term medium term and long term forecasting of electricity price with consideration to market power[J]. Automation of Electric Power Systems, 2003, 27(22): 16-22.
3. ZHOU Hao, CHEN Jianhua, SUN Weizhen. Analysis and adjustment of electricity price in electricity market[J]. Power System Technology, 2004, 28(6): 37-40.
4. ZHANG Xian, WANG Xifan, CHEN Fanghua, et al. Short term electricity price forecasting based on period decoupled price sequence[J]. Proceedings of the CSEE, 2005, 25(15): 2-6.
5. LIU Ting. Electricity price level prediction in power development planning[J]. Central China Electric Power, 2001, 14(6): 27-29.
6. XIE Peiyuan, YOU Dahai, ZENG Ciling, et al. Clearing price forecast for day-ahead market based on genetic-algorithm-optimized BP network[J]. Electric Power Automation Equipment, 2004, 24(3): 53-56.
7. YANG Pu, YOU Dahai, XIE Peiyuan. Price forecasting based on genetic algorithm and BP neural network[J]. Water Resources and Power, 2003, 21(2): 84-86.
8. ZHAO Qingbo, ZHOU Yuanbing, GUO Rong, et al. Application of fuzzy neural network in power system marginal price forecasting[J]. Power System Technology, 2004, 28(7): 45-48.
9. SZLITAB R, SANABRIA L A, DILLON T S. Electricity price shortterm forecasting using artificial neural networks[J]. IEEE Transactions on Power System, 1999, 14(3): 851-857.
10. BATES J M. GRANGER C W J. Combination of forecasts[J]. Operations Research, 1969, 20(4): 451-468.
11. TANG Xiaowo, CAO Changxiu. Study of combination forecasting method[J]. Control and Decision, 1993, 8(1): 35-38.
12. NIE Yanli, ZHOU Ming, YANG Zhaofen, et al. Application of optimal combined forecasting method in electricity prices forecasting[J]. Electric Power Science and Engineering, 2005, 16(4): 30-32.
13. GUNN S R. Support vector machines for classification and regression[R]. Southampton, UK: Image Speech and Intelligent Systems Research Group, University of Southampton, 1997.
14. KANEVSKI M, WONG P, CANU S. Spatial data mapping with support vector regression and geostatistics[C]//7th International Conference on Neural Information Processing. Taejon, Korea:[s.n.], 2000: 1307-1311.