Paper
16 December 2022 Research and application of key technologies for intelligent audit of market-based electricity sales charges based on artificial intelligence
Lei Xie, Bo Liang, Yang Yang, Xiaobin Sun, Chang Liu, Yankun Feng
Author Affiliations +
Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 1250063 (2022) https://doi.org/10.1117/12.2662693
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
With the business development of power grid companies and the further deepening of power system reform, the accounting business undertaken by power marketing departments is becoming more and more complex and diversified. This paper analyzes the limitations of the current electricity charge accounting audit in Shandong electric power company, constructs the basic framework, main tasks and operation mode of machine learning for electricity charge abnormal audit, expounds the advantages of electricity charge accounting audit based on artificial intelligence, and puts forward the application prospect of artificial intelligence technology in electricity charge accounting.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Xie, Bo Liang, Yang Yang, Xiaobin Sun, Chang Liu, and Yankun Feng "Research and application of key technologies for intelligent audit of market-based electricity sales charges based on artificial intelligence", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 1250063 (16 December 2022); https://doi.org/10.1117/12.2662693
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Artificial intelligence

Machine learning

Databases

Data analysis

Clouds

Data modeling

Data processing

Back to Top