Carbon neutralization is an urgent task in society because of the global warming threat. And carbon trading is an essential market mechanics to solve carbon reduction targets. Macro carbon price prediction is vital in the useful management and decision-making of the carbon market. We focus on the EU carbon market and we choose oil price, coal price, gas price, and DAX index to be the four market factors in predicting carbon price, and also we select carbon emission targets from Paris Accord as the political factor in the carbon market in terms of the macro view of the carbon price prediction. Thus we use these five factors as inputs to predict the future carbon yearly price in 2030 with the support vector regression models. We use grid search and cross validation to guarantee the prediction performance of our models. We believe this model will have great applications in the macro carbon price prediction.
翻译:由于全球变暖的威胁,碳中和是社会的一项紧迫任务。碳交易是解决碳减排目标的基本市场机制。 宏观碳价格预测对于碳市场的有效管理和决策至关重要。 我们侧重于欧盟碳市场,我们选择石油价格、煤价、天然气价格和DAX指数作为预测碳价格的四个市场因素,我们还选择《巴黎协议》的碳排放目标作为碳市场的政治因素,从碳价格预测的宏观观点看。因此,我们用这五个因素作为预测2030年未来碳年价格的投入,并使用支持病媒回归模型。我们使用电网搜索和交叉验证来保证模型的预测绩效。 我们相信,这一模型在宏观碳价格预测中将有很大应用。