As a result, energy-intensive infrastructures that try to maximize the use of renewable energy sources (RES), such as ...

Many utilities still rely on traditional on-premises computing models. However, the vast amount of data needed to operate today’s grid requires the scale and speed of cloud computing to gather ...

Cleanup efforts, repairs and grid-wise equipment replacements ... Using a 3D heat-transfer model on Stampede2, a supercomputer at the Texas Advanced Computing Center, researchers successfully ...

The traditional model—where data flows to central control centers, decisions are made and commands travel back to the field—cannot meet the demands of increasingly complex, renewable-heavy ...

The distributed model scales very well ... It can also be thought of as distributed and large-scale cluster computing. A Grid uses the processing capabilities of different computing units to ...

As the smart grid continues to take shape, legacy models of “all centralized data processing, all the time” are becoming less and less feasible. The combination of edge computing and 5G ...

Computing has taken a quantum leap forward ... "When you have giant computers whose job it is to create the AI models, and then you have millions and millions of users who are sending those ...

is leading a research team developing advanced optimization models and methods to manage complexities of operating the modern electrical grid through quantum computing. Advances could improve ...