Application of decision tree model in policy effect evaluation of green electricity market

In recent years, the green electricity market has become a significant focus due to the increasing emphasis on sustainable development and carbon emission reduction. However, evaluating the effects of various policies in this market remains a challenge due to the complexity and dynamic nature of the factors involved. This paper presents a novel approach utilizing the decision tree model to assess the impact of different green electricity policies. The decision tree method effectively handles the non-linearity and heterogeneity present in the data. Experimental results demonstrate that this model provides valuable insights into policy effectiveness, outperforming traditional evaluation methods. The conclusions drawn from this analysis can guide future policy-making decisions aimed at optimizing green electricity market outcomes.