灰色预测模型在碳排放预测中的应用
Application of Grey Prediction Model in Car-bon Emission Forecasting

当前，随着环境保护日益成为许多国家的战略重点，碳中和领域正迎来巨大的发展机遇。为了实现节能减排和实现双碳目标，我们需要有相关数据的支持，以为政策制定提供理论依据，并准确预测和分析碳排放量的情况。为此，我们的团队对数学模型在碳中和领域的应用方法及一些注意事项进行了研究，致力于降低计算门槛。我们主要采用邓氏灰色预测模型和其他数学模型来计算和预测碳排放量。研究结果表明，我们的灰色预测模型具有很高的预测精度，精度为0.03，达到了二级精度水平。
Currently, as environmental protection increasingly becomes a strategic focus for many countries, the field of carbon neutrality is facing significant development opportunities. To achieve energy conservation, emission reduction, and dual carbon targets, we require relevant data to support pol-icy formulation and accurately predict and analyze carbon emissions. To this end, our team has studied the application methods and considerations of mathematical models in the field of carbon neutrality, aiming to lower computational barriers. We primarily use Deng’s Grey Prediction Model and other mathematical models to calculate and forecast carbon emissions. The research results show that our Grey Prediction Model has high predictive accuracy, with a precision of 0.03, reaching a secondary level of precision.