DocumentCode :
1585565
Title :
Middle -- long Electric Power Load Forecasting Based on Co-integration and Support Vector Machine
Author :
Niu, Dongxiao ; Li, Jinchao ; Li, Jinying
Author_Institution :
North China Electr. Power Univ., Beijing
Volume :
1
fYear :
2007
Firstpage :
596
Lastpage :
600
Abstract :
Middle - long forecasting of electric power is crucial to the electric investment, which is the guarantee of the healthy development of electric industry. There are so many factors which influence the middle-long electric power load. So in this paper the co-integration technology is used to analyze the influencing factors´ inter characters, then a co- integration relating formula is found which is used to forecasting the middle-long electric power load, at last the support vector machine is used to correct the forecast error of the co-integrating method in order to improve the forecasting accuracy. The combined of the upper two methods can find out the long term equilibrium relationship and short term fluctuating relationship among the electric power load and other influencing factors, so the forecasting result become more sensible and scientific. A case showed that the proposed method is feasible and effective for middle- long electric power load forecasting.
Keywords :
electricity supply industry; integration; load forecasting; power system analysis computing; power system economics; support vector machines; co-integration technology; electric industry; electric investment; electric power load forecasting; middle-long electric power load; support vector machine; Autocorrelation; Econometrics; Economic forecasting; Equations; Investments; Load forecasting; Power generation economics; Support vector machines; Technology forecasting; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
Type :
conf
DOI :
10.1109/ICNC.2007.472
Filename :
4344260
Link To Document :
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