Research Article
Research on Standard Cost Prediction of Intelligent Overhaul Based on Multiparticle Optimization
@INPROCEEDINGS{10.1007/978-3-031-18123-8_38, author={Li Huang and Ye Ke and Fenghui Huang and Ying Wang and Cong Zeng}, title={Research on Standard Cost Prediction of Intelligent Overhaul Based on Multiparticle Optimization}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Multi-particle optimization algorithm Power grid maintenance Cost forecast Global model Local model Predicted grey number}, doi={10.1007/978-3-031-18123-8_38} }- Li Huang
Ye Ke
Fenghui Huang
Ying Wang
Cong Zeng
Year: 2022
Research on Standard Cost Prediction of Intelligent Overhaul Based on Multiparticle Optimization
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_38
Abstract
In order to effectively control the cost consumption in the process of intelligent overhaul of power grids, so as to maximize the saving of power supply cost, a standard cost forecast model based on multi-particle optimization algorithm is proposed. Starting from the global mode and local mode, the concrete calculation results of optimization operator are determined, and the cost statistics of power network based on multi-particle optimization algorithm is realized. On this basis, the cloud application concept of maintenance cost is defined, and the actual value of standard gray number is determined according to the numerical calculation law of cost characteristics. Experimental results show that MPSO can save the consumption of overhaul cost and meet the practical need of effectively controlling the supply cost of electricity under the same power supply.
