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The Study Of Combination Forecasting Model In Coal Requirement

Posted on:2008-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y ChengFull Text:PDF
GTID:2189360212999353Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
As the basic energy ,coal have capital position in our economical live.Under the new condition,we must ensure the balance of produce and requirement of coal.the coal demand forecast is a important aspect.On the basis of some basic notions of economic forecasting.three forecasting models and one combined forecasting model are proposed in this paper.the advanced BP neural network model and GM(1,1) model are introduce.the checkout and amending method of commonly-used linear regression are studied.Above three models are brought forward from different aspects,and they are all unilateral.so a combined forecasting model is introduced.As an example,the coal requirement of Fuxin city is studied from different aspects.it is shown that the precision of combined forecasting is the highest.the combined forecasting is close to practical case due to consedering various facters.
Keywords/Search Tags:coal demand forecast, BP artificial neural network, gray system theory, multiple linear regression, combination forecasting model
PDF Full Text Request
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