摘要
近年来,随着政策监管、电力改革、宏观经济以及大数据技术发展等内外部经营环境变化,电网企业的经营模式和盈利模式也不断深化,对于投资的需求更加多元化、复杂化和精准化。电网在促进整个电力行业碳减排中发挥着重要的作用,是连接发电厂和用户的枢纽。随着未来环境目标成为电力企业运行的主要目标,电力企业在投资活动中需要对多种因素进行评价分析。从社会绩效、经济绩效和环境绩效三个角度选取影响电网发展的多个指标,以电力大数据为依托,并利用灰色关联分析法,求出各指标与电网投资的关联程度,最终得到影响电网投资的关键指标,有助于提升电网投资需求预测的有效性和精准性,为电网投资的优化构建指标体系框架。
In recent years,with the internal and external operations such as policy supervision,power reform,macroeconomic and big data technology development,etc.With the change of environment,the business model and profit model of power grid enterprises are deepening,and the demand for investment is more diversified and complicated.Power grid plays an important role in promoting carbon emission reduction in the whole power industry,and it is the hub connecting power plants and users.With the future environmental objectives becoming the main objectives of electric power enterprises,electric power enterprises need to evaluate and analyze various factors in their investment activities.In this paper,several indicators affecting the development of power grid were selected from three aspects:social performance,economic performance and environmental performance.Based on the big data of electric power,the correlation degree between each indicator and power grid investment was obtained by using the grey correlation analysis method,and finally the key indicators affecting power grid investment were obtained.
作者
付瑶
项雯
李诚
陈开阳
FU Yao;XIANG Wen;LI Cheng;CHEN Kaiyang(Economic and Technological Research Institute,State Grid Heilongjiang Electric Power Co.,Ltd.Harbin 150028,China)
出处
《吉林化工学院学报》
CAS
2023年第1期99-102,共4页
Journal of Jilin Institute of Chemical Technology
基金
国网黑龙江省电力有限公司项目(SGHLJY00PSJS2200014)。
关键词
电网企业
大数据
灰色关联分析法
投资影响因素
enterprise
big data
grey relational analysis method
influencing factors of investment