New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Abstract: Effective fault identification and diagnosis are critical in modern power systems to ensure operational reliability and reduce economic losses. This research describes a novel approach that ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

Blackstone Energy Transition Partners will become the majority owner of the combined company, acquiring ownership interests in MPS currently held by Centerbridge MPS was founded in 1986 and PGC was ...

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, ...

Across the nation, electric power providers are grappling with an uncertain future as the grids that form the backbone of our energy infrastructure age and confront unprecedented new demands from ...

With $1,300 in Temu-sourced batteries and a lot of determination, this dad of six—soon to be seven—built a custom solar system that powers his household of eight and protects his growing family from ...