Grid Rails today announced the official launch of its enterprise-grade Virtual Power Plant (VPP) platform, a comprehensive software solution designed to help utilities, energy suppliers, and ...

AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

AI-driven data centers are projected to nearly double global electricity consumption from 415 TWh in 2024 to 945 TWh by 2030, posing significant grid challenges. Utilities can leverage AI and grid ...

Read more about Smart grid technologies can prevent blackouts in clean energy transition: Here's how on Devdiscourse ...

Utilities ramp network upgrades as transmission outlay climbs to $586b by 2030. Global transmission investment reached ...

Buildings are evolving from passive consumers to active grid resources, helping to balance energy demand during peak hours. Industry standards such as OpenADR and CTA-2045 facilitate interoperability ...

The urgency for an energy transition has never been more critical. Climate change, air pollution, resilience, and national security concerns make it clear that minor adjustments to our energy system ...

The study identifies a decisive shift in how smart cities are conceptualized, placing energy systems at the center of urban transformation. Renewable energy integration, energy efficiency, and smart ...

South Korea unveiled its next-generation distributed grid strategy at a recent discussion forum in Seoul, with plans to expand distributed generation and support region-specific electricity production ...

SAN JOSE, Calif.--(BUSINESS WIRE)--NVIDIA GTC 2026 – HPE (NYSE: HPE) today announced the HPE AI Grid, an end-to-end solution built on the NVIDIA reference architecture to securely connect AI factories ...