Proceedings of the International Council on Electrical Engineering Conference 2025(ICEE 2025)

Xuzhu Dong received the M.S. and Ph.D. degrees from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the second Ph.D. degree from Virginia Tech, Virginia, USA, in 2002. He is a professor and the dean of the School of Electrical Engineering and Automation, Wuhan University, Wuhan, China. He was the deputy chief engineer and the director of the Smart Grid Institute of China Southern Power Grid (CSG) Electric Power Research Institute (EPRI), Guangzhou, China. Before joined CSG, he worked with Progress Energy, FirstEnergy, and EPRI solutions in USA, as a senior engineer, stuff engineer, and lead engineer. He was involved into several key smart grid demonstration projects with CSG. He is a member of CIGRE. His research interests include smart distributions, microgrids, integration of renewable energy, energy storage, and asset management.

• Hybrid Energy Infrastructure for Offshore Energy Hubs with on-turbine Hydrogen Production.- Study on the Electrical Characteristics of a Vertical Self-Biased Channel Diode with a Split-Gate Electrode in a Fin Structure.- Cost-Effectiveness and CO2 Reduction of Commercial EV Adoption Based on GPS Trajectory Data.- "Development of Classical Guitar Tone Evaluation Device using Electrical Methods".- "Performance Estimation of IPMSM and its Drives Considering Magnetic Nonlinear Phenomena for EV Traction Applications".- Data-Driven Risk Assessment for Distribution System Maintenance with Resilient Reconfiguration.- Discussion on strength checking methods of thick-walled cylinders under different strength theories.- "Research on Embodied Carbon Emissions in China's Electric Power Equipment Trade with the European Union and Countermeasures".- Grid-forming converter control parameter optimization for voltage support capacity enhancement.- Research and Application of Building-Integrated Photovoltaics (BIPV) Technology for Multi-Curved Tile Sloping Roofs.- 5G+MEC Cloud-Edge Collaborative Architecture for Smart Distribution Networks.- Analysis of the Spatio-temporal Distribution Characteristics of Cloud-to-Ground Flash and multi-stroke ground flash Activities in Fang Chenggang Area.- Transitioning Coal-Fired Power Plants to a Low-Carbon Future: Exploring Renewable Energy Integration, Carbon Emission Reduction, and Energy Storage Solution.- A Two-Stage Artificial-Neural-Network Method for Predicting the Severe Thunderstorm Potential and Intensity.- Calculation and protection of simultaneous tripping of 500kV double-circuit transmission lines on the same tower.- Research on the Spatio-Temporal Distribution Characteristics of Extreme Lightning Activity in China from January to April 2024.- Based on Particle Swarm Optimized Neural Network for Ice Coating on Transmission Lines Prediction.- A Magnetically Controlled Reactor-Based Integrated High-Low Transient Voltage Simulation and Regulation System.- Multi-time scale optimal scheduling of distribution network based on accurate ultra-short-term load forecasting.