Open AccessConstruction and Application of Data Mining Model of Unit Scale Cost of Electric Grid Project
Author(s) -
Rong Peng,
Guoming Liu,
Peng An,
Xiang Qi,
Qing Wang,
Caiyang Yue,
Wei Zhang,
Han Zhang,
Yong Dai
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/446/4/042069
Subject(s) - grid , investment (military) , promotion (chess) , control (management) , environmental economics , unit (ring theory) , scale (ratio) , unit cost , electric power , computer science , return on investment , business , finance , power (physics) , economics , microeconomics , physics , geometry , mathematics , mathematics education , quantum mechanics , artificial intelligence , production (economics) , politics , political science , law
With the further promotion of the power system reform, the transmission and distribution price reform is in-depth, from “building mechanism” to “strong supervision”, and the effectiveness of investment has become the focus of supervision, so that grid enterprises must pay more attention to the efficiency and efficiency of investment. This paper mainly studies how to build a project cost analysis and data mining model based on the massive feasibility study estimate, preliminary design estimate and final account data of power grid infrastructure projects, mining the value laws and characteristics of power grid infrastructure projects from multiple scenes and perspectives, supporting the investment amount estimate in the planning stage, the investment estimate review in the feasibility study stage, and the investment control target prediction in the planning stage, so as to improve the investment efficiency of electric grid project.