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Electric power supply and demand early warning based on PCA and SVM method

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2 Author(s)
Li Jinchao ; Sch. of Econ. & Manage., North China Electr. Power Univ., Beijing, China ; Li Jinying

The risk of electric power supply and demand is becoming more and more outstanding. So in order to avoid electric power supply and demand risks, we should set up the electric power supply and demand early warning management system. In this paper, the influencing factors of electric power supply and demand are analyzed, and then the principal component analysis method is used to reduce factors, then the support vector machine method is used to realize the early warning of the electric power supply and demand. At last, it is validated that the results by this method is feasible for early warning.

Published in:

Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on  (Volume:2 )

Date of Conference:

25-28 July 2011

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