In:
IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 714, No. 4 ( 2021-03-01), p. 042009-
Abstract:
Based on historical power transmission and transformation project data, this paper constructs a support vector regression forecasting model by screening the key influencing factors of power transmission and transformation projects, and then predicts the cost of power transmission and transformation projects above 110kV in a certain province. The results show that the support vector regression forecasting model can quickly predict the project cost of power transmission and transformation projects by inputting key factors of the project. The establishment of this prediction model provides a more scientific basis for rationally controlling the cost of power transmission and transformation projects.
Type of Medium:
Online Resource
ISSN:
1755-1307
,
1755-1315
DOI:
10.1088/1755-1315/714/4/042009
Language:
Unknown
Publisher:
IOP Publishing
Publication Date:
2021
detail.hit.zdb_id:
2434538-6