Projects
Project
Data-Driven Knowledge-Graph-Based Anomaly Diagnosis and Operations Platform for Metering Equipment
A State Grid Shanghai project on data-driven knowledge graphs for metering-equipment anomaly diagnosis and operations.
- Period
- 2025–2026
- People
- Research Areas
Overview
Commissioned by State Grid Shanghai Municipal Electric Power Company, this project focuses on data-driven knowledge graphs for metering-equipment anomaly diagnosis and an operations platform.
Jiangjiao Xu leads the project. The project period is 2025–2026.
The public university profile identifies the commissioning organization and the project period. No public grant number, budget, team list, or deployment result is added here.
Source: Shanghai University of Electric Power faculty profile.