Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
IEEE

Secure Energy Management for Ship Power Systems Using Federated Learning

Abstract: This paper presents a Federated Learning (FL) based Energy Management System (EMS) for Ship Power Systems (SPS). The proposed method addresses the challenges of maintaining a stable power ...
IEEE

Interpretable Machine Learning Framework for Sustainable Solar Power Systems

Abstract: With the global energy makeup increasingly dominated by renewables, the demand for reliable and efficient forecasting tools in solar power generation has never been higher. In this paper, we ...