Tech Xplore

AI device with ion gel and graphene cuts machine learning power use 100-fold

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
IEEE

Stability Enhancement in Power Systems with High Renewable Penetration: The Role of Grid-Forming Inverters

Abstract: As power systems integrate increasing levels of renewable energy sources (RES), stability becomes a significant challenge due to the unique dynamic characteristics of inverter-based ...
Devdiscourse

AI takes the helm in power systems facing renewable and carbon pressures

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
The Cool Down

Researchers develop AI tool that could transform future of solar energy: 'Demonstrates significant promise'

A group of solar energy experts from India revealed how they used weather data dating back to 1980 to optimize solar farms.
IEEE

Data Manipulation Attack Mitigation in Power Systems Using Physics-Informed Neural Networks

Abstract: The growing digitalization of power transmission systems has introduced vulnerabilities to cyberattacks, particularly sensor manipulation, which can compromise control center monitoring and ...