Alternative energy
Alternative energy

Alternative energy

Algorithms Alternative energy Artificial Intelligence Batteries Climate change Computer science and technology Electrical engineering and computer science (EECS) Energy Energy storage Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Pollution Research School of Engineering Sustainability Sustainable computing

3 Questions: How AI could optimize the power grid

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

Algorithms Alternative energy Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering

A faster problem-solving tool that guarantees feasibility

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

Alternative energy Artificial Intelligence Chemical engineering DMSE Electrical engineering and computer science (EECS) Emissions Energy Energy efficiency Faculty Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory MIT Energy Initiative Renewable energy School of Engineering Special events and guest speakers Staff Sustainability

Confronting the AI/energy conundrum

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

Alternative energy Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Energy machine learning Materials science and engineering MIT Schwarzman College of Computing Nuclear science and engineering Renewable energy Research School of Engineering

AI method radically speeds predictions of materials’ thermal properties

The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.

Alternative energy Artificial Intelligence Climate change Department of Energy (DoE) DMSE Energy Faculty Funding Geology Grants Mechanical engineering Renewable energy Robotics School of Engineering Sustainability

Extracting hydrogen from rocks

Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.

Alternative energy Artificial Intelligence Collaboration Data Department of Energy (DoE) Diversity and inclusion Energy Funding Fusion machine learning Nuclear science and engineering open source Physics Plasma Science and Fusion Center Renewable energy Research School of Engineering School of Science Software Women in STEM

Fast-tracking fusion energy’s arrival with AI and accessibility

MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.