基于EABC算法优化RFR模型的电力行业碳排放量预测OA

In order to solve the forecast problem of electricity industry carbon emissions,the forecast model based on evolve artificial bee colony(EABC)algorithm optimized random forest regression(RFR)was proposed.Firstly,the influence factors of electricity industry carbon emission were determined based on the STIRPAT model,which were considered as the input independent variables of forecast model.Then,the RFR model was optimized by EABC algorithm,and the adverse influence on prediction accuracy due to unreasonable subjective setting of model parameters can be avoid.Finally,the parameter optimized model was used to forecast the electricity industry carbon emission.The verification result of actual measured data shows that the proposed model can accurately reflect the future carbon emission trend of electricity industry,and the model has higher forecast accuracy and more obvious advantage compared with the other forecast models,which can provide a certain reference for policy formulation of energy conservation and emission reduction.