Abstract
The U.S. Department of Energy (DOE) leads the way in seizing the promise and managing the risks of artificial intelligence (AI), largely through its national laboratories. The National Renewable Energy Laboratory (NREL) is developing and using AI to advance work and productivity across the DOE mission space: science, energy, and security. Leading AI/ML Research to Accelerate Energy Innovation AI advances science in a range of ways: identifying meaningful trends in large datasets, predicting outcomes based on data, and simulating complex scenarios. For decades, NREL has been using machine learning (ML) and AI to advance our clean energy mission. AI moves research beyond experimental problem-solving to address open-world challenges characterized by fluid and novel situations. We have completed hundreds of studies leveraging AI/ML as well as reinforcement learning (RL) and deep learning across research, development, demonstration, and deployment. This research has - and continues to - spur breakthroughs and advancements in energy efficiency and renewable energy, including connecting climate simulations to renewable energy resource assessments, enabling new control strategies for wind turbines, and providing new control options for grid-interactive buildings.
| Original language | American English |
|---|---|
| Publisher | National Renewable Energy Laboratory (NREL) |
| Number of pages | 2 |
| State | Published - 2025 |
NREL Publication Number
- NREL/FS-6A42-93062
Keywords
- AI
- artificial intelligence