Research on Investment Demand Forecast of Power Grid Based on Grey System Theory

2019 5th International Conference on Energy Materials and Environment Engineering

能源学;生态环境科学

Li, Hui^1 ; Wang, Yongli^2 ; Peng, Dong^1 ; Wang, Zhidong^1 ; Ma, Yuze^2 ; Zhang, Fuli^2 ; Zhao, Lang^1 ; Xue, Yawei^1

State Grid Economic and Technological Research Institute Co. LTD., Beijing

102209, China^1

Departments of Economics and Management, North China Electric Power University, Beijing

102200, China^2

关键词: Analysis theory;    Correlation coefficient method;    Demand forecasting;    Forecasting modeling;    Grey relational grade;    Grey system theory;    Power grid investments;    Scientific planning;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/4/042017/pdf
DOI  :  10.1088/1755-1315/295/4/042017

学科分类：环境科学（综合）

来源: IOP

【 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.