Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing

Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing

This paper presents an innovative approach to anomaly detection in electric vehicle (EV) charging platforms, centered around four key innovations that significantly advance the field of charging infrastructure security. First, we introduce a statistically reliable data balancing methodology that add...

Full description

Saved in:
Bibliographic Details
Main Authors: Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Third-party charging infrastructure
low-code platform
anomaly detection
data balancing
deep cross model
Online Access:https://ieeexplore.ieee.org/document/10820370/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10820370/

Similar Items