Tech Xplore

Powering AI from space, at scale, with a passive tether design

Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically ...
Frontiers

Machine Learning for Hydrological Modeling in Water Resource Management in Data-Scarce Regions

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
EDN

The shift to 800-VDC power architectures in AI factories

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.
IEEE

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models

Abstract: The rise of renewable energy integration in smart grids brings new cybersecurity challenges, prompting this study to examine vulnerabilities in Smart Cyber-Physical Power Systems (CPPS). The ...
IEEE

Electrical Fault Analysis and Fault Location Prediction in Power Systems Using Generative Adversarial Networks and Deep Learning

Abstract: Accurate fault detection and localization are critical for ensuring the stability and reliability of modern power systems. This research presents a novel approach integrating Generative ...