Abstract: With natural disasters occurring more frequently, energy systems need to become more resilient and cost-effective. Although many studies have examined the use of renewable energy systems to ...
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: 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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results