Su Zhang
Papers
1
Total Citations
3
H-Index
1
About
Su Zhang is a leading researcher at the intersection of artificial intelligence and electric power systems, with a primary focus on intelligent substation inspection and image recognition technology. Her most notable contribution is the development of panoramic visual inspection methods for substations, where she pioneered the application of AI-driven image recognition to automate patrol tasks, significantly enhancing operational safety and efficiency. Her seminal 2023 paper, "Panoramic visual inspection of substation based on image recognition technology," has garnered 3 citations, establishing a foundational framework for integrating computer vision into power production technology. Zhang's work addresses critical challenges in real-time anomaly detection and equipment monitoring, reducing reliance on manual inspections. Her research is widely recognized for bridging the gap between theoretical AI models and practical industrial deployment, making her a key figure in the modernization of smart grid infrastructure. Through her innovative approach, Zhang continues to shape the future of intelligent power systems, inspiring students and engineers to explore AI’s transformative role in energy technology.
Research Focus
Key Achievements
Top Papers
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