The introduction of Large Language Model (LLM) based Generative Artificial Intelligence (GenAI) has and will continue to change our daily lives. Specifically, software such as ChatGPT, Claude, Gemini or others, is beginning to transform the way engineers plan, optimize, and operate the electric grid. In this webinar, Dr. Jonathan Snodgrass will be introducing the basics of the theory behind GenAI, the applications such as mixture of experts (MOE) and small language models (SLM), and how you can use implement LLMs through retrieval-augmented generation (RAG) or fine tuning.
Date and Time: October 15, 2025, at 3:00 pm CDT
Location: zoom
The presentation slides are posted here
Speaker
Dr. Jonathan Snodgrass is a Senior Research Engineer at the Texas Engineering Experiment Station (TEES), at Texas A&M University, working under Professor Tom Overbye in the area of large-scale electric power systems. He received his BS and MS degrees at Texas A&M University, and MS and PhD degrees at the University of Wisconsin-Madison, all in electrical engineering. His primary research area is in power system network planning and resilience, and other areas include electric vehicle integration, combined transmission and distribution system simulations, optimization, power system markets, and protective relaying. He also worked for two years at Zachry Engineering Corporation in Amarillo, Tx designing simple and combined cycle natural gas generating plants.
Presentation slides of other talks of Dr. Snodgrass and more about his research are posted here.