GM-GRA-DPC-PSOSVR forecasting model For any regional carbon emission forecasting, it is important to select a suitable model. For model selection, researchers often choose only one optimal model according to experience or model selection criteria, which obviously ignores the uncertainty of model selection. That is, once the data changes slightly, the optimal model may change, which means the optimal model is uncertain. The combined forecasting was proposed by Bates and Granger(1969), which is a robust forecasting technique.

这段话也没有发现任何语法错误。该段介绍了GM-GRA-DPC-PSOSVR预测模型的构建。对于任何地区的碳排放预测，选择一个合适的模型是非常重要的。在模型选择方面，研究人员通常根据经验或模型选择标准选择一个最优模型，这显然忽略了模型选择的不确定性。也就是说，一旦数据发生细微变化，最优模型可能会发生变化，这意味着最优模型是不确定的。Bates和Granger(1969)提出了组合预测方法，这是一种强大的预测技术。