Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...

Schneider Electric’s energy VP unpacks the grid’s biggest vulnerabilities and what's missing in its digitalisation efforts.

Traditional grid planning can’t meet the demands of a distributed energy future. Explore how grid-edge flexibility and ...

Virtual power plants turn distributed energy assets like EVs and solar into grid resources without new infrastructure.

AI disclosure requirements are key to managing risks as artificial intelligence becomes further implemented into the power grid.

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

According to the average brokerage recommendation (ABR), one should invest in Arista Networks (ANET). It is debatable whether this highly sought-after metric is effective because Wall Street analysts' ...

This article presents a direct model predictive control (MPC) scheme for grid-tied converters (GTCs) with LCL filters operating under nominal and adverse grid conditions. Specifically, the proposed ...

Power grids are critical infrastructures that require real-time safe and reliable operation. Large Language Models (LLMs), have demonstrated significant potential in power grid applications. This ...