AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

PJM plan could accelerate data center power deals, analysts say

A plan from PJM Interconnection, the largest power grid operator in the U.S., to manage burgeoning power demand from data ...
IEEE

Dynamic Circuit-Based Unified Power Regulation for Hybrid AC/DC/DS Microgrids: A Comprehensive Approach to Static and Transient Control

Abstract: Power regulation in hybrid ac/dc microgrids (MGs) is a critical concern, both in static and transient states. Static power regulation involves optimizing the dispatch of distributed energy ...
Opinion

Rethinking climate change: Natural variability, solar forcing, model uncertainties, and policy implications

Current global climate models (GCMs) support with high confidence the view that rising greenhouse gases and other anthropogenic forcings account for nearly all observed global surface warming—slightly ...
IEEE

Comparative Analysis of Machine Learning-Based Surrogate Modeling Approaches for Multi-Body Dynamic Simulation in Railway Digital Twin Platform

Abstract: Machine learning (ML)-based surrogate models offer a promising alternative for Multibody Dynamics (MBD) Simulation of railway vehicle-track dynamics systems. A well-built ML model can ...