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 ...
POWER Magazine

DOE Details 26 Genesis Mission AI Challenges, Targeting Nuclear Timelines, Grid Planning, and Energy Systems

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...
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

Transfer Learnable Physics-Informed Neural Network Surrogating Grid-Tied Inverters for Renewable Power System Simulation

Abstract: The development of accurate and reliable dynamic models of grid-tied inverters is crucial for system-level simulation and the investigation of renewable power systems under ...
IEEE

Multistep Identification of the DFIG Model Based on Dynamic Analysis of Parameter Identifiability

Abstract: Accurate model parameters are crucial for power system simulation analysis and control design. However, it is challenging to identify complex models owing to the implicit correlation between ...