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Predicting Carbon Emission of Shanghai Residents Living Energy with Set Pair Analysis

机译:集对分析法预测上海市居民生活能源碳排放

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摘要

By using MATLAB software to determine the impact factor weights,and frequency analysis method to construct equivalence classes,we calculate the distance between the current annual residential energy carbon emissions impact factor set and classification set from different anti—tripartite parts of set pair analytical methods and look on classified collection of the weighted average of the central value of carbon emissions as currently living with the predicted value of the carbon emissions.The specific implementation plan with a dynamic prediction of set pair analysis of forecasting methods(SPA-CP) for carbon emissions of Shanghai residents was established.The results indicate that the physical concept of the program of the modeling is clear.The calculation is simple.
机译:通过使用MATLAB软件确定影响因子权重,并通过频率分析方法构造等效类,我们从集合对分析方法的不同反三方组成部分中,计算了当前年度居民能源碳排放影响因子集与分类集之间的距离。根据当前的碳排放预测值对碳排放中心值的加权平均值进行分类收集。具体的实施计划,带有对碳排放预测方法(SPA-CP)的集对分析的动态预测结果表明,该建模程序的物理概念清晰,计算简单。

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