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  • 标题:Research on the Construction Method of Intelligent Prediction and Analysis Model for the Whole Process of Power Grid Project Cost
  • 本地全文:下载
  • 作者:Zuobin Liang ; Shan Gao ; Qing Wang
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:213
  • 页码:1-5
  • DOI:10.1051/e3sconf/202021303029
  • 出版社:EDP Sciences
  • 摘要:The government’s supervision of power grid enterprises will gradually focus on the transmission and distribution price, and the investment and income will be more strictly supervised. Under the new management requirements, the company must pay more attention to the compliance of the investment process, further strengthen the investment risk control, put an end to inefficient or invalid investment, strengthen the all-round and whole process supervision, and scientifically and accurately determine and carry out effective project cost control and management. It is the key to achieve project management objectives, and also an important measure of investment fine management and control. This paper takes historical cost data as the research object, constructs the whole process intelligent prediction and analysis model of power grid project cost, assists investment decision-making, reduces the balance rate, and improves the efficiency and efficiency of the company’s investment and lean management level.
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