Title :
Notice of Retraction
The short-term gas load forecasting using the combination method based on wavelet
Author :
Li Zhang ; Xiaozhong Xu
Author_Institution :
Inf., Mech. & Electr., Eng. Coll., Eng. Coll. of Shanghai Normal Univ., Shanghai, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The prediction of gas load is an essential indicator for the Gas supply system to make their strategies. recently, many researchers focus on how to combine some forecast methods to enhance the accuracy. This paper is to advance a new method that first abstract the available characters from the complex sources of information by the wavelet analysis, then search for the best way to get several individual forecast method combined, called CFBOW(combination forecast based on wavelet). So that effectively improves the accuracy of the prediction. The result improves the forecast performance that brings up large interests to the Gas supply system.
Keywords :
gas industry; load forecasting; supply and demand; wavelet transforms; CFBOW; combination forecast based on wavelet; gas load prediction; gas supply system; prediction accuracy improvement; short term gas load forecasting; wavelet analysis; Biological system modeling; Contracts; Predictive models; BP neural network; gas load forecasting; grey theory; time series; wavelet;
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
DOI :
10.1109/CCTAE.2010.5544251
