Indoor Electric Vehicle Charging Risk Intelligent Identification System Launched

Mars Finance News, May 8 — Today, it was learned that under the guidance of the State Administration for Market Regulation, Yunnan Power Grid, relying on the National Meter Data Construction and Application Center (Green Power), successfully developed and implemented the “Electric Vehicle Indoor Charging Risk Intelligent Identification System.” This system empowers regulatory transformation through technological innovation, enabling efficient and precise identification and risk warning of illegal electric bicycle charging inside high-rise buildings. The system has built a remote “technology + management” collaborative governance model driven by big data without hardware modifications. Technologically, the system uses artificial intelligence analysis algorithms, based on the 15-minute load curve trend features provided by existing smart meters in the power grid, to remotely accurately identify the “electrochemical fingerprint” of electric bicycle charging, achieving low-cost, scalable monitoring. Currently, the system has been successfully trialed in more than 50 representative residential areas, with an identification accuracy of 88% without installing additional equipment or increasing investment. (CCTV News)