Artificial intelligence (AI), which includes both machine learning and large language models (LLMs), is transforming how we approach energy efficiency, especially in data centers and other energy-intensive sectors.
At ACEEE, our research has focused on harnessing intelligent efficiency—leveraging advanced technologies and data-driven insights to optimize energy systems. As new AI capabilities evolve—particularly LLMs—they unlock new opportunities to reduce energy use, enhance grid flexibility, and drive sustainability across industries.
This initiative explores three key intersections of AI and energy efficiency:
- Managing explosive load growth from AI.
AI-driven data centers and new manufacturing facilities are fueling unprecedented electricity demand. Meeting this challenge requires strategies to improve efficiency and ensure the future reliability of the grid. - Intelligent efficiency.
AI can optimize energy use through smart manufacturing, grid-interactive efficient buildings, and other applications that cut waste while maintaining productivity. - The importance of Scope 4 emissions.
AI tools can help companies avoid emissions across their value chains by enabling more efficient design, product use, and service delivery.
ACEEE’s ongoing research in these areas offers actionable insights to help industries and policymakers effectively use these emerging tools.
