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 techniques to enhance cybersecurity in SCADA systems for power plants and ...

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.

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

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

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

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