Energy strategist David Groarke discusses how electric utilities apply machine learning and smart meter data to detect customer EV adoption.
Opinion
Groarke: AI is not creating a massive new utility market
“I can't say that there is an enormous new market emerging because of AI. As a result, I think AI is kind of riding the wave within the sector.”
Insight
Groarke: Modeling grid physics is the primary barrier to full automation
“The primary reason why, you know, we're not on a path Towards, you know, full automation, and there's, you know, been a spade of use cases launched is just modeling grid physics accurately is incredibly difficult, right, for an algorithm. So, you know, solutio…”
Assertion Open · timeframe Mar 2034
Groarke: Half of the utility workforce will retire in 10 years
“50% of the workforce is going to retire in the next 10 years. You can see that happening right now. So you have this kind of field technicians are leaving, right?”
Assertion Supported
Groarke: Power delivery infrastructure cost nearly equals generation cost
“Just the cost of infrastructure needed to deliver power is nearly equal to the cost of generating power itself, right?”
Assertion Partly supported
Groarke: Power sector OPEX is increasing about 14% annually
“OPEX costs are up about, you know, 14% a year.”
Assertion Supported
Groarke: Utility LLM use focuses on enterprise tasks, not grid operations
“We're seeing some application of LLMs across the industry, but usually at the enterprise level around regulatory documents around, you know, generating text or guidance. Less on the actual power sector side of the operation itself itself.”