DocumentCode
442163
Title
Load forecasting model of power system based on Lyapunov index
Author
Lu, Zhan-Hui ; Zhu, Zhi-Hong ; Li, Jing-Quan
Author_Institution
Dept. of Appl. Math., North China Electr. Power Univ., Baoding, China
Volume
8
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
4779
Abstract
By analyzing the non-linear chaos characteristic of the power load time sequence, this paper sets up a mathematic model, figures out the max Lyapunov index of the time sequence, identifies the chaos characteristic of the system and develops a load forecasting software to draw a graph of predicted value and actual value. The example indicates that the forecasting model using the Lyapunov index has higher predicting precision.
Keywords
Lyapunov methods; chaos; graph theory; load forecasting; nonlinear dynamical systems; power engineering computing; power system control; sequences; Lyapunov index; graph theory; load forecasting model; load prediction; nonlinear chaos characteristic; power load time sequence; power system; Chaos; Delay; Economic forecasting; Load forecasting; Load modeling; Mathematics; Power system analysis computing; Power system modeling; Power system security; Predictive models; Load forecasting; Lyapunov index; Power system; chaos;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527783
Filename
1527783
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