E3S Web Conf.
Volume 213, 20202nd International Conference on Applied Chemistry and Industrial Catalysis (ACIC 2020)
|Number of page(s)||4|
|Section||Environmental Chemical Research and Energy-saving Technology Application|
|Published online||01 December 2020|
Research on the Method of Power Grid Equipment Material Price Forecast Based on Grey Theory
Operation and Maintenance Department, State Grid Xinjiang Electric Power Co., Ltd. Yili Power Supply Company, Yining City, Xinjiang Uygur Autonomous Region, 835000
2 School of Economics and Management, North China Electric Power University, Beijing 102206, China
* Corresponding author’s e-mail: firstname.lastname@example.org
The purchase cost of equipment and materials occupies a large proportion in the cost of power grid technical renovation and overhaul projects, and has a greater impact on project cost control. Therefore, improving the scientificity of equipment and material price forecasting methods is of great significance for controlling the cost of technical renovation and overhaul projects. This article takes the tower Q345 as the research object, and builds a prediction model based on gray theory based on the analysis of the company’s current tower price prediction methods and prediction effects. Through empirical verification, the model can effectively improve the accuracy of equipment material price prediction.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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