Energy

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

The FSNet system, developed at MIT, could help power grid operators rapidly find feasible solutions for optimizing the flow of electricity.

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.

The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.

All promotions and appointments will take effect July 1, 2025.

Seminar title: Optimizing Power Grids with AI: Ensuring Feasibility and Stability Location: 32-155 Time: Monday, March 17 4-5pm Abstract: The electric power grid, one of our country’s most complex pieces of…

Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.

Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.

VEIR, founded by alumnus Tim Heidel, has developed technology that can move more power over long distances, with the same footprint as traditional lines.