Chaotic Time Series Gray Correlation Local Forecasting Method Based On Fractal Theory
The fractal and the structure of self-similarity are two main features of chaotic behaviors. Based that an initial search for a self- similar trajectory, the series of gray correlation for local forecasting chaos time are proposed.The nearest neighbor points in a phase space are selected based on Euclidean distance and the degrees of gray correlation. The method proposed is applied to a short-term,power-load forecasting. The results of load forecasting using this approach indicate the method is efficient and accurate.
Chaos fiactal self-similar trajectory gray correlation Euclidean distance
Min Zhao Yin-hai Fan Jin Lv
Department of Electronic and Automation of Dalian Maritime University, Liaoning, Dalian, China
国际会议
成都
英文
39-43
2007-09-23（万方平台首次上网日期，不代表论文的发表时间）