Title :
Identification of chaotic characteristic of power load based on lyapunov exponents
Author :
Chen, Aiju ; Liu, Jingjing
Author_Institution :
Coll. of Electron. & Inf. Eng., Wuhan Univ. of Sci. & Eng., Wuhan, China
Abstract :
Identification of Chaotic Characteristic is the base of nonlinear time series analysis, forecasting, control. Lyapunov Exponents can provide an important basis for identification of chaos. The variation of power load is irregular, the article analyze the cause of the Chaotic of power load, reveal the existent chaotic with calculating the maximum Lyapunov exponents.
Keywords :
Lyapunov matrix equations; chaos; load forecasting; time series; Lyapunov exponents; chaotic characteristic identification; nonlinear time series analysis; power load; Chaos; Computational intelligence; Computer industry; Eigenvalues and eigenfunctions; Jacobian matrices; Load forecasting; Power engineering and energy; Power system control; Stability; Time series analysis; Identification; Lyapunov exponents; chaotic; power load;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406557
