电力信息与通信技术2025，Vol.23Issue(2)：44-50,7.DOI:10.16543/j.2095-641x.electric.power.ict.2025.02.06
新能源汽车产业链用电量传导关系分析与精细化预测的研究实践
Research and Practice on Analysis of Electricity Conductivity Relationship and Refined Forecasting of New Energy Vehicle Industry Chain
方智淳1
作者信息
- 1. 国网浙江省电力有限公司 营销服务中心,浙江省 杭州市 310000
- 折叠
摘要
Abstract
Taking the new energy automobile manufacturing industry in Zhejiang province as the research object,this paper proposes a method for analyzing the transmission relationship of power consumption in the industrial chain and predicting the refinement of industrial power consumption.The industry chain mapping is sorted out and the upstream and downstream electricity conduction analysis model is constructed.On this basis,a machine learning method is used to construct a refined prediction model of industrial electricity consumption that takes into account the causal relationship of industrial chain electricity consumption.The results verify the effectiveness of the proposed method in long-term and annual,quarterly and monthly fine prediction of electricity consumption in key industries in the industrial chain and early warning of electricity fluctuations.关键词
新能源汽车产业/产业链/电量传导/精细化预测Key words
new energy vehicle industry/industrial chain/electricity conductivity/refined forecasting分类
信息技术与安全科学引用本文复制引用
方智淳..新能源汽车产业链用电量传导关系分析与精细化预测的研究实践[J].电力信息与通信技术,2025,23(2):44-50,7.
