REAL-TIME HIL EMULATION OF DRM WITH MACHINE LEARNING ACCELERATED WBG DEVICE MODELS

The proliferation of artificial intelligence (AI) has opened up new avenues for the modeling of power electronics with ultra-fast transient responses, such as wide-bandgap (WBG) devices.This article highlights the significance of ultra-fast transient device-level hardware emulation for the DC railway microgrid (DRM) in real-time.To this end, the pr

Gijsbert J van der Veen, Cornelis Slagt Department of Anaesthesia, Pain and Palliative Medicine, Radboud University Dishwasher Drain Pump Medical Center, Nijmegen, The Netherlands Fathy et al1 rightfully emphasize the importance of postoperative cognitive dysfunction (POCD) as it is associated with longer length of in-hospital stay and an incr