Research on multi-dimensional target time series prediction model for power grid infrastructure projects

2019 5th International Conference on Energy Materials and Environment Engineering

能源学;生态环境科学

Zhang, Jian^1 ; Jin, Xianing^2 ; Song, Yi^2 ; Yang, Weihong^2 ; Zhang, Mingli^3 ; Gao, Jing^3 ; Yang, Bo^3 ; Li, Zhanjun^3 ; Wang, Yihe^3

State Grid Corporation of China CO. LTD., Beijing, Beijing

100000, China^1

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

100000, China^2

State Grid Liaoning Electric Power Co., Ltd., Economic and Technical Research Institute, Shenyang, Liaoning

110000, China^3

关键词: Entry point;    Lean management;    Multi dimensional;    Power grid company;    Power industry;    Sequence prediction;    Solid supports;    Time series prediction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/4/042084/pdf
DOI  :  10.1088/1755-1315/295/4/042084

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to adapt to the changes in the external power industry environment, prevent external audit supervision risks, and deepen the internal lean management level, we take the investment statistics of power grid infrastructure projects as the entry point, scientifically regulates investment statistics, and focuses on solving the distortion of investment statistics and the problem of the department not cooperating. By constructing the multi-dimensional target timing sequence prediction curve of investment statistics, the paper provides reference for the reported value of investment statistics, improves the authenticity and reliability of investment statistics, and at the same time, deepens the investment statistics management, providing solid support for the lean management and control target of power grid companies.