Jianqi An

Papers

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About

Dr. Jianqi An is a researcher focused on advancing electrical power systems, with particular expertise in distribution network safety and live working technologies. Their most notable contribution addresses a critical challenge in the field: improving the accuracy of transmission line identification and localization for live-line maintenance under complex outdoor conditions. In their 2024 paper, Dr. An tackles the difficulties posed by bright ambient light, non-fixed operating scenes, and the small, uneven nature of transmission line samples—factors that degrade the performance of conventional machine learning methods. By proposing a novel approach to enhance detection reliability, this work has already garnered 2 citations, signaling its immediate relevance to practitioners and researchers in power system operations. Dr. An’s research bridges the gap between theoretical computer vision techniques and practical utility grid maintenance, directly supporting safer and more efficient live working procedures. Their contributions are particularly valuable as distribution networks grow more complex and the demand for uninterrupted power supply increases. Through this targeted innovation, Dr. An is helping to modernize inspection and maintenance protocols, reducing risks for field personnel while improving operational accuracy.