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DOE OSTI · 3367361

Generative AI for Grid Operations [Slides]

Kroposki, Ben [National Laboratory of the Rockies (NLR), Golden, CO (United States)]·Choi, Seong [National Laboratory of the Rockies (NLR), Golden, CO (United States)]
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Abstract

In the last few years, the development and use of generative artificial intelligence (AI) and large-language models (LLMs) have changed the landscape of how AI and machine learning (ML) are being used in power systems. LLMs are built on foundational models based on large data sets that can be trained to provide information rapidly and through simple natural language prompts. Generative AI can then perform human-like tasks using ML models to identify and mimic pattens in the data sets. This presentation explores how generative AI can enhance grid operations by improving forecasts, enabling rapid contingency analyses, and offering real-time operational suggestions. By providing grid operators with valuable insights, generative AI will empower them to manage power systems more effectively.

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24 POWER TRANSMISSION AND DISTRIBUTION97 MATHEMATICS AND COMPUTINGAIgenerative AIgrid operationslarge language model

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BibTeXRIS

Kroposki, Ben [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Choi, Seong [National Laboratory of the Rockies (NLR), Golden, CO (United States)]. 2026-06-09. Generative AI for Grid Operations [Slides]. https://doi.org/10.2172/3367361

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