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CLASS:PUBLIC
CREATED:20260603T221122Z
DESCRIPTION:The demands facing grid operators are changing swiftly: power t
hirsty AI data centers\, clean (but variable) generation sources\, and ext
reme weather events are testing the power grid like never before. These fa
ctors require a step change in situational awareness in order to maintain
a safe\, secure\, and reliable grid for all. Over the past few years\, AI
was pegged as the answer. Visionaries dreamed up ideas for how models woul
d solve the grid most pressing challenges\, yet market-ready applications
have been limited to the low-hanging fruit: chat bots for customer engagem
ent\, forecasting of siloed data and other risk-averse use cases. Until no
w. The California Independent System Operator has taken an industry-defini
ng leap to bring real AI into power grid operations. With operators spendi
ng countless hours reviewing outage-related information\, CAISO partnered
with OATI to bring generative and agentic AI functionality to its outage m
anagement system. In this session\, attendees will learn how CAISO and OAT
I worked together on use case identification\, solution architecture\, AI
model selection and evaluation\, and deployment in an operation environmen
t. This session is especially relevant to utilities and RTO/ISOs that are
looking to operationalize AI solutions to gain improved situational awaren
ess and efficiency. We will discuss lessons learned and share methodical a
pproaches that should be taken to operate and comply with evolving regulat
ions. Key Takeaways Uncover real-world\, practical AI applications in powe
r system operations See the latest evolution of OATI Genie™\, the first
generative and agentic AI platform developed for the energy industry\, whi
ch is being developed in collaboration with the California ISO Learn how t
o improve situational awareness and efficiency with AI Session Sponsore
d by OATI
DTEND;TZID="Eastern Standard Time":20260720T145000
DTSTAMP:20260520T193800Z
DTSTART;TZID="Eastern Standard Time":20260720T130000
LAST-MODIFIED:20260603T221122Z
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=en-us:Field Experience with Generative AI in Electricity O
peration
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X-ALT-DESC;FMTTYPE=text/html:\n\n\n\n\n\n\n\n\nSponso
red by the PSOPE Technologies &\; Innovation Subcommittee | Machine Lea
rning for Power Systems Working Group
\n\nThe
electricity grid is undergoing a fundamental transformation. Proliferatin
g renewables at the bulk level\, distributed energy resources at the grid
edge\, and large intermittent loads like data centers in between. Grid ope
rators face new volatility that legacy tools were never built to handle.
\n\nThis panel brings together a cross-section of
industry veterans from grid operations\, market operations\, academia\, an
d solution development to share specific use cases and recent field experi
ence with generative and agentic AI in real grid environments. Panelists w
ill discuss training agents on historical data and grid operating manuals\
, coordinating agents to respond to operator prompts\, flagging anomalous
signals\, distilling data into actionable information\, and taking automat
ic action.
\n\n<
/P>\n\n\n
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