Carbon Price Prediction based on Stacking Model Fusion

DOI:10.1145/3675249.3675327
文献类型：期刊论文
补充材料：只需要正文
备注：Abstract The carbon price is a decisive factor affecting carbon emissions trading. Accurately predicting carbon prices can better respond to climate change and alleviate greenhouse effects. In this paper, a high-precision carbon price prediction method is proposed based on the fusion of stacking models. Seven indicators from the three dimensions of economy, energy, and environment were selected as explanatory variables for the carbon price prediction model. Next, the learner is selected for mode