معرفی
Kun Qian is a postdoctoral researcher at the University of Southern Denmark's Faculty of Engineering, affiliated with the Centre for Industrial Electronics. His work bridges industrial electronics and sustainable energy systems.
- Research focuses on integrating electric vehicles (EVs) and photovoltaic (PV) technologies to optimize energy systems.
- Specializes in physics-informed neural networks, reinforcement learning, and computational efficiency in simulations.
- Active in developing smart charging strategies for EVs and exploring second-life battery applications in renewable energy plants.
His research spans interdisciplinary topics combining electrical engineering, artificial intelligence, and urban sustainability. Notable work includes optimizing EV charging infrastructure for net-zero energy cities and enhancing renewable energy utilization through battery storage.
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