Research Article
Research on Decision Making Technology of Regional Maintenance Cost Considering Multi-Attribute Factors
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322713, author={Yan Ren and Jinpeng Liu and Jing Yu and Zebang Yu and Fangzhou Liu and Chao Chen}, title={Research on Decision Making Technology of Regional Maintenance Cost Considering Multi-Attribute Factors}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={power grid maintenance cost regional characteristics benefit output distribution method}, doi={10.4108/eai.17-6-2022.2322713} }- Yan Ren
Jinpeng Liu
Jing Yu
Zebang Yu
Fangzhou Liu
Chao Chen
Year: 2022
Research on Decision Making Technology of Regional Maintenance Cost Considering Multi-Attribute Factors
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322713
Abstract
At present, cost control and strict supervision have become the main tone of the government's supervision of power grid enterprises. The contradiction between high-quality development and the operation of power grid enterprises is becoming increasingly prominent. Therefore, strengthening the reasonable and accurate investment of funds is the inevitable direction of the development of power grid enterprises. Improving the reasonable level of maintenance cost investment is the key to solve the development problems of power grid enterprises. The maintenance cost is affected by regional differences, management level and asset scale. The decision-making of maintenance cost investment in different regions is more complex. Therefore, combined with the operation characteristics of power grid enterprises, this paper systematically analyzes the main factors affecting maintenance cost investment, clarifies the correlation between maintenance cost investment and various factors, and uses neural network method combined with factor correlation analysis results to realize the scientific prediction of maintenance cost, which can provide some reference for accurate decision-making and scientific investment of maintenance cost, it provides a certain reference basis for the reasonable allocation of maintenance cost.