摘要
【目的】为满足电网公司针对新能源项目投资进行管控的需要,尝试基于电网公司内部大数据,建立面向新能源项目投资效益评价的数据抽取方法和评价指标体系。【方法】基于电网公司SG-ERP系统架构,构建面向大数据应用的数据管理体系,提出基于Golden Gate的评价数据抽取方法,建立覆盖项目经济、社会、环境效益,及项目决策期、建设期和运营期的全过程评价指标体系,并辅以Delphi法进行验证。【结果】通过实证得到指标变异系数权重和Y市电网公司2015年新能源项目投资的经济、社会和环境效益得分。【局限】量化评价指标时采取的分类标准可进一步细化。【结论】本研究方案可实现电力新能源项目投资效益全过程的评价,数据抽取方法、评价指标体系和权重算法具有一定的推广价值。
[Objective] This paper establishes data extraction model and evaluation mechanism for the return of investment analysis on new energy projects. All data is from the State Grid Jiangsu Electric Power Company in China. [Methods] First, we proposed a new big data management framework based on the State Grid Jiangsu Electric Power Company SG-ERP system architecture. Second, we extracted evaluative data based on Golden Gate technology, and constructed an evaluation system covering the economic, social and environmental aspects of the target projects at different development stages （i.e. decision-making, construction and operation）. Finally, we examined the proposed system with the Delphi Law. [Results] We got the weight of variation coefficient and the economic, social and environmental benefits of new energy projects of Y City in 2015. [Limitations] The classification schemes for the evaluation criteria could be further refined. [Conclusions] The proposed system can evaluate the return of investments for new energy power grid projects. The data extraction method, evaluation system and weight algorithm could be used in other studies.
出处
《现代图书情报技术》
CSSCI
2016年第12期57-65,共9页
New Technology of Library and Information Service
基金
国网江苏省电力公司管理咨询项目"能源互联网时代的电力大数据统计指标甄选及应用研究"(项目编号:SGTYHT/14-WT-214)
国家自然科学基金面上项目"双维度流动性调整的期权定价模型研究"(项目编号:71271110)
江苏省"六大人才高峰"项目"政务大数据资源开发技术与实现方法研究"(项目编号:2015-XXRJ-001)
南京大学区域经济转型与管理变革协同创新中心课题"江苏‘互联网+’行动方案研究(金融)"的研究成果之一
关键词
电力大数据
数据抽取
新能源项目
投资效益
Power big data Data extraction New energy project Investment benefit
