Abstract:With the increasingly serious problem of global climate change, carbon emission control has become the common goal of governments and energy companies. As one of the main sources of carbon emissions, the accurate calculation and effective management of carbon emissions from coal-fired power plants are particularly important. In order to improve the accuracy of carbon emission calculation, a new method based on polynomial fitting and error correction is proposed. The polynomial model is constructed by using Pearson correlation coefficient method, the optimal polynomial coefficients are obtained by coati optimization algorithm, and the polynomial with different characteristic numbers and orders is tested. The simulation results show that the fourth order polynomial of power generation, power supply and power consumption has the best correction effect. The error correction model can significantly reduce the calculation error of carbon emissions and make the corrected carbon emissions closer to the actual value.