BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:AI-Driven Load: Trends\, Challenges and Opportunities
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260520T040534Z
UID:tag:localist.com\,2008:EventInstance_52066406872875
DTSTART:20260225T160000Z
DTEND:20260225T173000Z
DESCRIPTION:The growth of AI is driving increasing energy demand in the for
 m of new data centers\, while also changing how data centers are designed 
 and operated. In this webinar\, experts from EPRI’s DCFlex initiative an
 d Stanford’s Bits & Watts Initiative will discuss trends\, challenges\, 
 and opportunities arising from this AI-driven load.\n\nSpeakers\n\nDavid L
 arson – Sr. Team Lead\, Load Forecasting Initiative and Core Team Member
  of DCFlex\, EPRI\n\nRam Rajagopal – Associate Professor of Civil and En
 vironmental Engineering\, Faculty Director of the Bits & Watts Initiative\
 , Stanford University
LOCATION:
SUMMARY:AI-Driven Load: Trends\, Challenges and Opportunities
URL;VALUE=URI:https://events.stanford.edu/event/dcflex-bits-watts-joint-web
 inar
CATEGORIES:Class/Seminar
CATEGORIES:Lecture/Presentation/Talk
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