Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: This work presents a novel approach for real-time transient stability prediction in power systems, combining synchrophasor data with model-driven dynamic state estimations. The proposed ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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.
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