Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Abstract: Power systems are well-engineered systems designed to supply power generation and services to end users. They are considered as the most crucial infrastructures in modern societies as ...

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.