| Issue |
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 5 | |
| Section | Ultra-Low Energy Consumption Building Technology | |
| DOI | https://doi.org/10.1051/e3sconf/201913601014 | |
| Published online | 10 December 2019 | |
Research on Overhead Line Cost Prediction Based on Index Construction
1 Institute of Economy and Technology, Ningxia Electric Power Co., Yinchuan, Ningxia, 750000, China
2 School of Economics and Management, North China Electric Power University, Beijing, 102206, China
* Corresponding author’s e-mail: 15010979128@163.com
In order to meet the growing demand of the society for electric power, the construction of electric power infrastructure is constantly carried out. However, investment in construction and cost control are particularly important. Because of its own characteristics, overhead line project cost control management is difficult to carry out. According to the characteristics of overhead line engineering, this paper constructs an overhead line engineering cost index system composed of 24 indexes including voltage grade from three aspects: technical conditions, engineering quantity attribute and cost attribute. Combining with the actual data of the completed project, the BP neural network algorithm is used to predict the static investment of the project. The accuracy of the prediction model reaches 99.9%. This verifies the rationality and comprehensiveness of the overhead line project cost index system constructed in this paper, and provides reliable guidance for the overhead line project cost management.
© The Authors, published by EDP Sciences, 2019
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