CO2 emissions from fossil fuel combustion have been considered as the most important driving factor of global climate change. A\ncomplete understanding of the rules of CO2 emissions is warranted inmodifying the climate change mitigation policy. The current\npaper advanced a new algorithm of parameter estimation for the logistic equation, which was used to simulate the trend of CO2\nemissions from fossil fuel combustion. The differential equation of the transformed logistic equation was used as the beginning\nof the parameter estimation. A discretization method was then designed to input the observed samples. After minimizing the\nresidual sum of squares and letting the summation of the residual be equal to 0, the estimated parameters were obtained. Finally,\nthis parameter estimation algorithm was applied to the carbon emissions in China to examine the simulation precision. The\nerror analysis indicators mean absolute percentage error (MAPE), median absolute percentage error (MdAPE), maximal absolute\npercentage error (MaxAPE), and geometric mean relative absolute error (GMRAE) all showed that the new algorithm was better\nthan the previous ones.
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