Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital ...

Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

This article examines engineering concepts for transitioning from 12-V to 48-V power systems, with a particular emphasis on ...

Collins Aerospace has begun initial tests of the integrated electric elements - including a pair of 1MW-class motors - that ...

Our climate is changing fast, but the journalists at Yale Climate Connections are here to help you fight back. When you sign up for the Yale Climate Co ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Quantum catalysts are specialized resources that enable quantum state transformations previously thought impossible, holding ...