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X-WR-CALNAME:ESE Fall 2026 Seminar Series: "ChatGPT\, Why is My Energy Bill
  So Low?"
X-WR-TIMEZONE:Eastern Time (US & Canada)
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DTSTAMP:20261012T152714Z
UID:tag:localist.com\,2008:EventInstance_53860476064078
DTSTART:20260914T160000Z
DTEND:20260914T173000Z
DESCRIPTION:Register today for the third seminar of the ESE Fall 2026 Semin
 ar Series: The Janak Raj Lectures. This seminar is available online only v
 ia Zoom. \n\nPresented by: John Bistline\, Ph.D\, Head of Science\, Waters
 hed\n\nREGISTER HERE\n\nTIME: 12:00 PM - 1:30 PM Eastern Time \nLOCATION -
  ZOOM MEETING link to be sent prior to the seminar date\nCONTACT US: inese
 i@lehigh.edu  \n\nABSTRACT: Energy system models are how deep uncertainty 
 about the energy transition is turned into decisions: which policies cut e
 missions\, what they cost\, who bears the burden\, how the grid stays reli
 able and affordable along the way. This talk surveys what recent studies t
 ell us about decarbonizing U.S. energy systems\, then turns to the near-te
 rm shock of sustained electricity load growth from AI and data centers. As
  electricity has moved from the back office to the boardroom\, I present t
 wo complementary lines of research. First\, forward-looking modeling of de
 carbonization pathways shows the central role of clean electricity\, end-u
 se electrification\, and strong regional differences that national scenari
 os can mask. Second\, a causal analysis of a question correlation cannot a
 nswer: Has data center growth raised household electricity bills? Using an
  instrumental variables strategy built on the 1947 Interstate Highway Plan
 \, we find that new load has modestly lowered residential rates and show h
 ow the same measurement discipline applies to quantifying AI emissions.\n\
 nBIO:  Dr. John Bistline is Head of Science at Watershed\, where he leads 
 the analytics that shape how companies and governments measure and reduce 
 emissions. His research uses large-scale models to inform corporate decarb
 onization\, energy systems planning\, and climate policy. His current work
  examines the energy and emissions impacts of AI and data center load grow
 th\, federal and state energy and environmental policy\, power systems dec
 arbonization\, and net-zero emissions energy systems. Before joining Water
 shed\, he led energy systems and climate analysis research at the Electric
  Power Research Institute (EPRI). He is also a Research Affiliate at MIT a
 nd an Associate Editor of The Electricity Journal. Dr. Bistline is a contr
 ibuting author for the Intergovernmental Panel on Climate Change (IPCC) Se
 venth Assessment Report\, and contributed to two U.S. National Climate Ass
 essments and the IPCC Sixth Assessment Report. His research has appeared i
 n Science\, Nature Energy\, PNAS\, and the Brookings Papers on Economic Ac
 tivity\, and his analysis informed policy debates over the Inflation Reduc
 tion Act\, EPA power plant rules\, and state decarbonization policies.\n\n
 Dr. Bistline earned a doctorate in Management Science and Engineering from
  Stanford University and a Bachelor of Science degree in Mechanical Engine
 ering and Engineering and Public Policy from Carnegie Mellon University.  
 Come join us for this seminar!
LOCATION:
SUMMARY:ESE Fall 2026 Seminar Series: "ChatGPT\, Why is My Energy Bill So L
 ow?"
URL;VALUE=URI:https://eventscalendar.lehigh.edu/event/ese-fall-2026-seminar
 -series-chatgpt-why-is-my-energy-bill-so-low
CATEGORIES:Seminars & Workshops
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