Carbon emission prediction method, electronic equipment and computer readable medium

The invention discloses a carbon emission prediction method, electronic equipment and a computer readable medium, and the method comprises the steps: collecting related data, such as energy consumption, economic growth rate, generating capacity, carbon emission index and the like, carrying out the quantification of an influence contribution through employing a generalized Dirse exponential decomposition method, and selecting an influence factor with relatively high correlation; a two-stage XGBoost algorithm of particle swarm optimization is utilized to predict the carbon emission trend in the future, the effectiveness of the method is verified for actual data of a certain area, and instance prediction analysis is carried out. 本发明公开了一种碳排放预测方法、电子设备和计算机可读介质，该碳排放预测方法包括：收集能源消耗、经济增长率、发电量、碳排放指标等相关数据，采用广义迪氏指数分解法对影响贡献进行量化，选择相关性较强的影响因素；利用粒子群优化的两阶段XGBoost算法预测未来的碳排放趋势，对某区域的实际数据验证了该方法的有效性，并进行了实例预测分析。