As artificial intelligence systems grow larger and more powerful, their energy demands are rising dramatically. But recent ...

Artificial intelligence increasingly helps providers make their grids more robust, improve forecasts of electricity prices ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

Thousands of small earthquakes, detected for the first time by a machine-learning process, reveal the distinct, razor-sharp ...

State estimation in power systems entails the reconstruction of voltage magnitudes and phase angles across a network from a combination of measurements. Traditionally founded upon supervisory control ...

This repository contains my 25day learning journey exploring core concepts of Electrical Power Systems using MATLAB. The goal of this project was to move from basic concepts to advanced visualization ...

New Delhi: Dec 6, 2025, (ANI): Speaking about National Conference on the Use of AI and Machine Learning in Power Distribution Sector, Jitendra Srivastava, Chairman & Managing Director of REC Limited, ...

Xingpeng Li, assistant professor of electrical and computer engineering at the University of Houston. In the race to achieve a net-zero future based on clean energy, renewable energy sources like ...

Input from humans helps when deciding whether to trust the recommendations and decisions of a machine-learning system. Can AI be trusted? The question pops up wherever AI is used or discussed -- which ...

Abstract: This paper introduces a framework for online identification of cascading events in power systems with renewable generation, based on supervised machine learning techniques and measurement ...