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

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

This editorial explores how power systems can proactively tackle climate change amid soaring renewable energy penetration. It highlights existing research gaps and showcases cutting-edge studies on ...

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

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

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

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

They're part of a new group, dubbed Utilize, pushing to 'advance smarter, faster, and more affordable use of existing grid ...