Recently, I did a presentation outside my day job. I titled the slide deck “AI in the Electric Utility Industry,” not knowing that a good chunk of the audience already worked in AI. This turned out to be a good thing—I got to go deeper than I had planned and have a real conversation.
I’ve attached my slide deck, annotated with some notes from the discussion. It’s a sibling to an earlier Energy Crystals piece,1 but it goes in a different direction.
This presentation assumes you know a bit about AI—if you know what the NVIDIA H20 is, you should be able to keep up.
This post and the information presented are intended for informational purposes only. The views expressed herein are the author’s alone and do not reflect those of their current or previous employers or any elected officials. The author makes no recommendations toward any electric utility, regulatory body, or other organization. While certain information contained herein has been obtained from sources believed to be reliable, the author has not independently verified this information, and its accuracy and completeness cannot be guaranteed. Accordingly, no representation or warranty, express or implied, is made as to, and no reliance should be placed on, the fairness, accuracy, timeliness or completeness of this information. The author assumes no liability for this information and no obligation to update the information or analysis contained herein in the future.
AI in Electric Utilities is NGMI
Electric utilities have two points of interaction with the abrupt boom in generative AI technologies: AI as sudden new electric load, and AI as a tool for customer service, load forecasting, and regulatory interface. For New England, that former concern is effectively a non-issue, because our region has absurdly high electric rates in league with Califo…
Hey energy crystals. We should talk.
Kevin@sevendaysvt.com