Open AccessConstruction and Application Practice of Early Warning Model for Investment Progress of Electricity Grid Construction Projects
Author(s) -
Qian Gao,
Junyi Yang,
Kai Li,
Jinmin Cheng,
Jing Wang,
He Huang,
Jie Tang,
Shaoqiang Li,
Keli Dai
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/461/1/012012
Subject(s) - grid , investment (military) , electricity , warning system , process (computing) , business , revenue , plan (archaeology) , risk analysis (engineering) , operations management , environmental economics , computer science , finance , engineering , economics , telecommunications , geometry , mathematics , electrical engineering , archaeology , politics , political science , law , history , operating system
As the reform of transmission and distribution prices moves from the “construction mechanism” to the “strong supervision” stage, the authenticity and effectiveness of the grid investment plan implementation during the supervision cycle will definitely be the focus of external supervision. This will also directly affect the approval of the permitted revenue of grid companies in the next regulatory period. This paper takes the 110kV and above electricity grid construction projects as the research object, and constructs an early warning model for the progress of investment in electricity grid construction projects to identify and quantify the management and data problems existing in the project construction process, promote collaborative management of electricity grid construction projects and improve the authenticity and reliability of investment completion statistics.