Title :
The Analysis and Improvement of the Price Forecast Model Based on Fractal Theory
Author :
Herui Cui ; Li Yang
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Universiy, Baoding
Abstract :
This paper discusses the basic principle of the fractal theory and the basic thinking of how to use it to forecast the electricity price, then build electricity price forecasting model and make a analysis on the prediction error to put forward improvement. Before the application of fractal mode in the price forecast field, there is a need to do R/S analysis of the data series to derive its index Hurst; And in forecast process, use variable dimension fractal parameters calculated by curve fitting technique instead of constant dimension fractal parameters.
Keywords :
curve fitting; forecasting theory; fractals; power markets; power system economics; pricing; R/S analysis method; curve fitting technique; electricity price forecast model; fractal theory; prediction error analysis; variable dimension fractal parameter; Computational geometry; Economic forecasting; Forward contracts; Fractals; Power engineering computing; Power generation economics; Power system economics; Power system modeling; Predictive models; Technology forecasting; Fractal Theory; Price Forecast Model;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.75