Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

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.

Addressing reliable, accurate, and fast-acting voltage supervision that enables the reliable deployment of next-generation DC ...

Feb 10 (Reuters) - Microsoft (MSFT.O), opens new tab is exploring using superconducting power lines in its data centers, which could potentially accelerate its massive U.S. build-out of the server ...

We are moving toward an economic system in which software and devices transact with one another without human involvement. Instead of simply executing transactions, machines will be able to make ...

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 ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

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 ...

New Delhi: Dec 6, 2025, (ANI): Speaking about National Conference on the Use of AI and Machine Learning in Power Distribution Sector, Jitendra Srivastava, Chairman & Managing Director of REC Limited, ...

Blackstone Inc. is nearing an acquisition of MacLean Power Systems in a deal that could value the utility-parts maker at more than $4 billion, according to people familiar with the matter. The private ...