Ying-Chun Zhan

A study on risk prediction and asset operation-and-maintenance cost optimization in power internet of things systems, driven by the fusion of digital twin technology and federated graph learning

The deployment of sensors, smart terminals, and edge gateways is driving the transformation of traditional power grids into the power Internet of Things (IoT). However, asset operation and maintenance still face data fragmentation, insufficient topology-aware modeling, delayed risk response, and high operational costs....