Meeting Notice — Economic Infrastructure Subcommittee, House of Representatives (December 9, 2025)
Summary
A meeting notice for the Economic Infrastructure Subcommittee of the House of Representatives, scheduled for Tuesday, December 9, 2025, from 8:30 AM to 11:30 AM, with a discussion on the impact of data centers on electric utilities and presentations on the use of artificial intelligence by infrastructure providers. Slides from Florida Power & Light, presented by Tiffany Cohen, VP Rate and Regulatory Strategy, state that the FPSC recently approved two new tariffs for large load customers and that 44,000 truck rolls were avoided in 2024 by using artificial intelligence. Slides from Duke Energy, presented by Rick Glover, Director of Digital Grid Services, cover AI capabilities and state 50+ internally developed AI products.
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“Meeting Notice — Economic Infrastructure Subcommittee, House of Representatives (December 9, 2025).”
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Economic Infrastructure Subcommittee
Tuesday, December 9, 2025
8:30 AM - 11:30 AM
Reed Hall (102 HOB)
Daniel Perez Chip LaMarca
Speaker Chair
Committee Meeting Notice
HOUSE OF REPRESENTATIVES
Economic Infrastructure Subcommittee
Start Date and Time: Tuesday, December 09, 2025 08:30 AM
End Date and Time: Tuesday, December 09, 2025 11:30 AM
Location: Reed Hall (102 HOB)
Duration: 3.00 hrs
Discussion on the Impact of Data Centers on Electric Utilities
Presentations on the Use of Artificial Intelligence by Infrastructure Providers
NOTICE FINALIZED on 12/02/2025 3:19PM by Marks.Amie
12/02/2025 03:19:29PM Leagis ® Page 1 of 1
Florida Power & Light
Data Centers and AI
Tiffany Cohen, VP Rate and Regulatory
Strategy
December 9, 2025
Florida is a powerhouse for responsible growth and opportunity
State of Florida Florida Power & Light Company
Sales tax exemption for data
Approved large load tariff
centers over 100 MW
Owns and operates robust
No state income tax
transmission system
AI programs at top universities are Speed-to-market with connection
fueling workforce pipelines to 500kV hardened lines
Record storm performance with
Wall Street of the South
automated grid
Florida Power & Light Company I2
The FPSC recently approved two new tariffs to serve large load customers
during this rate period while protecting the general body of customers
Site A
FPL large load tariffs applicable to new
customers with >50 MW and 85% load factor
Site B
Tariff 1 Tariff 2 Site C
Up to 3 GW of new load Unlimited load outside
Tariff 1
at three specific sites of designated sites will
• Close proximity to FPL pay cost to serve under
transmission facilities formulaic rate structure Tariff 2
The FPSC-approve large load tariffs represent the most forward-looking and customer-protective regulations in
the U.S.
Florida Power & Light Company I3
These large load tariffs lead the nation in customer protections
Incremental Generation
Load Requirement Minimum Bill
Charge (IGC)
$11.67/kW for customers located 100% of the IGC plus 70% of
In excess of 50 MW in certain zones1; will be demand charges (e.g. slice of
and 85% load factor calculated for all other locations system charge) based on
in the service area2 customer’s contracted load
Minimum Term Exit Fees Collateral3
Parent guarantee/Letter of Credit/
20-year contract with a 100% accelerated payment of Surety Bond for 5 years of IGC
2-year termination notice remaining 20-year IGC if BBB or better. 10 years of IGC
if not BBB or better.
1. LLCS-1 has stated IGC rate and is limited to certain zones - Sunbreak (St. Lucie County), Tesoro (Martin County), and Sugar (Palm Beach County). Must be near FPL’s 500 kV transmission facilities
2. All incremental generation charges will be determined via formula specified in LLCS-2 tariff
3. Subject to annual liquidity checks Florida Power & Light Company I4
Artificial intelligence is already
helping us deliver some of the
nation’s most reliable electric
service
44,000 truck rolls avoided in 2024 by
using artificial intelligence
More than 2.7 MM outages avoided in
2024 by using smart grid technology
FPL can predict and prevent many
power outages and restore service
faster when outages occur
Safer, faster and more cost-effective
inspections by using AI-enabled drone
inspections
Florida Power & Light Company 5
Duke Energy
AI @ Duke Energy
Rick Glover
Director of Digital Grid Services
12/9/2025
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AI Foundations DUKE
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The science of making intelligent
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Ability to learn without being
explicitly programmed
Deep Learning - 201 Os
Subset of ML which makes the
computation of multi-layer neural
network feasible
Generative Al
Learning algorithms which enable
the creation of original content by
using existing content such as
text, audio and video files, images,
and code
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Partnership Between AI Safeguarding our Building our Accelerating Value-add
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2017
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business partners early - the need for strong data structures—such as high-impact use cases
Driving innovation governance and security centralized platforms and accelerates adoption and
focused on business frameworks before scaling clear policies—are demonstrates tangible
needs and clear customer AI ensuring compliance essential for managing benefits.
value. and protection of sensitive risk and enabling
information. responsible innovation.
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• Moved from AI ideas to AI
solutions.
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Data strategy.
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and Governance platform.
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AI Products.
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AI Capabilities
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Computer Vision Anomaly Detection Optimization
Derives meaningful information from Identification of unexpected events, Determining the most effective use of a
digital images, videos and other visual observations, or items that differ from situation or resource subject to
inputs (e.g. MOVES, Fleet the norm (e.g. EV Detection, constraints (e.g., Route Optimization)
Electrification Planning) Transformer Health)
Deterministic Deterministic Deterministic
Natural Language
Forecasting Processing Generative AI
Making predictions based on past and Derives meaningful information from Creating new content such as images,
present data (e.g. Load Forecasting) text (e.g. Interconnection Requests) text, video, that mimics human-
created content (ex. ChatGPT, Large
Load Siting)
Deterministic Deterministic Probabilistic
INTERNAL
DUKE -
Storm Preparedness ENERGY~
AI CAPABILITIES LEVERAGED: Forecasting Optimization
Hurricanes Severe Thunderstorms Ice Storms
Pre-Landfall Modeling
The prediction model forecasts and estimates the number and location of
storm Outages, crew types needed, and duration of restoration efforts.
StormCast (Post Storm) Modeling
Generates a model that produces accurate restoration times and resource
2M+ customer service points allocation forecasts by analyzing weather and outage data, crew availability,
36k–38k miles of wire and damage assessments.
290 substations
1,394 circuits GOAL
385,000 transformers Optimize restoration by getting the right crews to the right places
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PREDICTIVE ISSUES IDENTIFIED SOLUTIONS RECOMMENDED
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Working Together
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Industry Partners
DUKE Technology Partners
ENERGY®
University Partners
7
THANK YOU
DUKE
ENERGY®
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