Title :
Multi-Fractal Local Singularity Research of Power Load Time Series
Author :
Zhao, Min ; Fan, Yinhai ; Qiu, Nan
Author_Institution :
Dalian Maritime Univ., Dalian
Abstract :
In order to raise power load data handling accuracy, multi-fractal theory is used to analyze power load time series local singularity. The concussion load brought by power system in its circulation and the random interference data produced by data gathering system will both bring along harmful data in the power load data. The local singularity is one kind of property that the power load time series has. Computing method and computing result is given. The analysis of result indicates that multi-fractal theory is effective to analyze power load time series local singularity.
Keywords :
data handling; load forecasting; power system analysis computing; random processes; time series; data gathering system; multifractal theory; power load data handling; power load time series local singularity; power system; random interference data; Automation; Chaos; Data handling; Differential equations; Fractals; Geometry; Load forecasting; Logistics; Power system analysis computing; Time series analysis; Local singularity; Multi-fractal; Power Load; Time Series;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338844
