This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.

Their findings are detailed in the study “Efficient Energy Consumption: Leveraging AI Models for Appliance Detection,” published in the Journal of Low Power Electronics and Applications, where the ...

Across the nation, electric power providers are grappling with an uncertain future as the grids that form the backbone of our energy infrastructure age and confront unprecedented new demands from ...

Beckhoff Automation’s latest motion system components and modular automation architecture are designed to simplify machine control integration, improve energy efficiency and reduce wiring complexity.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load. When you purchase through links on our site, we may earn an affiliate ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Abstract: Effective fault identification and diagnosis are critical in modern power systems to ensure operational reliability and reduce economic losses. This research describes a novel approach that ...

From left to right, Berkeley Lab researchers Anthony Gonsalves, Alessio Amodio, and Dan Wang align precision optics to prepare the Berkeley Lab Laser Accelerator (BELLA) Petawatt laser for ...