Open AccessResearch on prediction model of construction period of overhead line project based on BP neural network
Author(s) -
Kewei Luo
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 - 10.1088/1755-1315/546/4/042073
Subject(s) - overhead (engineering) , overhead line , artificial neural network , line (geometry) , computer science , electric power transmission , transmission line , transmission (telecommunications) , power (physics) , plan (archaeology) , reliability engineering , operations research , engineering , telecommunications , artificial intelligence , electrical engineering , physics , geometry , mathematics , archaeology , quantum mechanics , history , operating system
With the stable development of economy and society, the power load increases year by year, so the power transmission company needs to build enough transmission lines to ensure the power supply. Overhead line project is the most commonly used form of transmission line, but the overhead line project often encounters the situation that cannot be completed on time, which affects the satisfaction of users’ electricity demand. Therefore, it is necessary to reasonably predict the construction period of the overhead line project, so as to provide a reasonable reference for the formulation of the production plan of the grid company. Firstly, this paper analyses the key factors that affect the construction period of overhead line project. Based on the BP neural network method, the construction period prediction model of overhead line project is established. The accuracy of the prediction is high.