In order to deal with the global climate change and achieve the major strategic goal of carbon peak carbon neutralization,the carbon peak situation of the oil and gas pipeline industry plays a vital role.In order to help enterprises to study carbon emission reduction control measures applicable to pipeline companies,we improve the level of carbon emission management,and achieve the company carbon peak target.In this paper,the combination model of grey prediction and partial least square is used to predict the carbon emission of X company.A variety of emission factors will lead to changes in carbon emissions.Partial least square method is used to model the influencing factors,taking into account the factors affecting carbon emissions,while overcoming the impact of collinearity on the results.Then,considering that the long-time data has little impact on the results,weight is given to the annual data to improve the accuracy of the results.Finally,using the combination model based on grey prediction and partial least squares and taking the data of X Company from 2017 to 2022 as an example,the carbon emission from 2023 to 2027 is predicted.
关键词
油气管道/灰色模型/碳排放/峰值预测
Key words
oil and gas pipeline/gray model/carbon emission/peak prediction
维普
万方数据