Across the Atlantic, power markets are starting to flip the script: wholesale prices in parts of Europe are dropping to zero ...

The rapid development and widespread use of artificial intelligence (AI) systems is posing new challenges for electricity ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Semiconductors and data centers are emerging as the critical leverage points of the physical backbone of the AI economy.

Southern California Edison partners with ThinkLabs AI and Microsoft to automate grid energization. Learn how this ...

Africa stands at the cusp of a digital and energy transformation. As data centres expand across the continent, they are driving demand for reliable power, accelerating renewable integration, and ...

Le Xie, Professor of Electrical Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), ...

This example shows how to load only the required data on demand when the detail view is open. This can be useful if the grid control is bound to a large set of detailed data and you do not want to ...

Abstract: Volunteer computing became popular during the late 1990s with software like SETI@home. In the early days of bitcoin mining, CPUs and GPUs were used similarly to volunteer computing: spare ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. America’s ...

This example modifies the background color of specific grid cells. Target cells are defined explicitly by rows and columns (independent of the underlying data). The example stores target cells in a ...

Trapped-ion quantum computing operates at room temperature, unlike other types that need extreme cold. This type of quantum computing is promising for stable, long-term research and application.