Title :
Improved Grey-Topology Algorithm for Forecasting
Author :
Li Zhi-jun ; Dai Qing-quan ; Song Ye-xin ; Chen Mian-yun
Author_Institution :
Sch. of Autom., WHUT, Wuhan, China
Abstract :
Scientific forecast is of great importance to the economic phenomenon research and economic decision-making. Therefore, the research about economic forecast theory and method is always a hot topic. This paper proposed an algorithm combined with the grey model, least square method and topology model, which can be a new advanced algorithm for forecasting. Using this new algorithm, the paper forecasts the tendency of average energy consumption per person of our country and then come to the conclusion that the new algorithm is more accurate. It proves that the new algorithm is a good one and can be used by authorities to make strategy decision for economy.
Keywords :
decision making; economic forecasting; energy consumption; forecasting theory; grey systems; least squares approximations; topology; average energy consumption; economic decision-making; economic forecast theory; economic phenomenon research; grey-topology algorithm; least square method; scientific forecast; Automation; Economic forecasting; Energy consumption; Equations; Least squares methods; Load forecasting; Power generation economics; Predictive models; Production systems; Topology; Economic forecast; Grey system; Least square method; Topology algorithm;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.128