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  • 标题:Research on Investment Demand Forecast of Power Grid Based on Grey System Theory
  • 本地全文:下载
  • 作者:Hui Li ; Yongli Wang ; Dong Peng
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:295
  • 期号:4
  • 页码:1-7
  • DOI:10.1088/1755-1315/295/4/042017
  • 出版社:IOP Publishing
  • 摘要:The forecast of power grid investment demand is of great significance for reasonably arranging the investment of power grid construction funds and reducing the cost of funds. In this paper, a forecasting model of power grid investment demand based on grey system theory is proposed. Firstly, the correlation coefficient method is used to analyze the correlation between the investment demand of power grid and its influencing factors, and the key factors affecting the investment demand of power grid are selected. Then the grey relational grade analysis theory is used to construct the investment demand forecasting model of power grid. The validity and rationality of the model are verified by an example of power grid investment prediction in a certain area. The model is of great theoretical and practical significance for the coordination of power grid investment and the scientific planning of power grid investment scale.
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