How artificial intelligence can help achieve a clean energy future
Nancy W. Stauffer, MIT Energy Initiative, November 24, 2025
Artificial intelligence (AI) is crucial to the clean energy transition despite current challenges induced by AI-driven data centers. AI will support the clean energy transition by optimizing real-time grid operations, balancing supply and demand of intermittent renewable energy resources, and enabling preventive maintenance to reduce power plant downtime. AI will also assist in planning future infrastructure investments by improving forecasts, helping planners to predict how future systems will operate and ensure reliability. Large language models can help streamline the complex planning and regulatory processes required for long-term infrastructure investments. Furthermore, AI accelerates the discovery of advanced materials for batteries and reactors by automating laboratory experiments to improve workflow and improving physics-based simulations at the atomic level, potentially shortening development cycles from decades to years. By developing these AI-based methodologies, researchers at the MIT Energy Initiative are unlocking the potential benefits of AI to deliver a more resilient, efficient, and sustainable global energy system.
IEEE Authorship and Open Access Symposium: Tips and Best Practices to Get Published from IEEE Editors
This free live webinar will feature the perspective of distinguished author, editor, professor, and research scientist Dr. Anuradha Annaswamy, from Massachusetts Institute of Technology (MIT), USA, who will provide critical insights on IEEE’s peer review and submission processes and tips on what editors look for in submissions. In addition, presenters from IEEE will be on hand to cover topics such as IEEE open access programs for institutions, research strategies using IEEE Xplore, author tools, and other important resources.
IEEE, October 15, 2020
Utilities may soon pay you to help support a greener grid
Scott Simon, Grist, March 5, 2025
Anuradha Annaswamy: Adaptive Control – From the “Brave Era” to Reinforcement Learning and Back
inControl podcast, Episode 8, January 2023
Featured
Vineet Nair defended his doctoral dissertation successfully on May 12, 2025!
Title: “Coordination of distributed energy resources for a reliable, resilient, and affordable decarbonized grid”
Peer Brigger has joined the AAC Lab as a visiting student. His Masters Thesis will focus on Value of Storage in a distribution grid subject to physical constraints
AAC lab students. 2025. It was nice to have great weather – made use of it and took our group photo at the Killian Court. Left to right: Mychal Amoafo, Daniel Maldonado, Alan Cao, Anu Annawamy, Peter Fisher, Ethan Kita, Vineet Nair, and Peer Brigger
Anu Annaswamy featured as a panelist at the MIT Senior Congressional Staff Seminar on ““Technologies and Strategies for Responding to Energy and Climate Challenges” in the panel “Electricity Transmission: Ensuring a Smart, Affordable, and Resilient Grid,” together with Chris Knittel and Juan Sega.
Anu Annaswamy is a Featured Author in IEEE Explore.