Tapping the engines of cellular electrochemistry and forces of evolution

Researchers at Washington University in St. Louis have a unique resource in the form of the Center for Biomolecular ...
IEEE

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications

Abstract: The emergence of grid-forming (GFM) inverter technology and the increasing role of machine learning in power systems highlight the need for evaluating the latest dynamic simulators.
IEEE

Sliding-Mode-Based Model Predictive Control for Enhancing Robustness and Output Performance in Dynamic Inductive Power Transfer Systems

Abstract: In dynamic inductive power transfer (DIPT) systems for automated guided vehicles (AGVs), the movement of the AGV can significantly impact the coupling coefficient, degrading the output ...