SPEAKERS



SEPTEMBER 28

TUESDAY

Moderator: Neil Wilmshurst
Senior Vice President, Energy System Resources, Electric Power Research Institute (EPRI)

Mike Howard
EPRI, CEO Emeritus, and World Energy Council, Vice Chair
Gil Quiniones
President & Chief Executive Officer, New York Power Authority (NYPA)
Mike Rencheck
President and CEO, Bruce Power
Audrey Zibelman
Vice President, X – The Moonshot Factory
Moderator: Mark McGranaghan
EPRI Fellow, Electric Power Research Institute (EPRI)
Marc Spieler
Global Director of Energy and AI, Nvidia Corporation
Brian Amundson
Director, Grid Modernization Strategy, Xcel Energy
Scott Hixson
Grid of the Future and Analytics Solutions Manager, Ameren
Prithpal Khajuria
Global Innovation & Technology Enablement Leader, Intel
Moderator: Sal Gill
Head of Digital Strategy & Market Innovation - Energy and Utilities, SAS
Norv Clontz
Director, Data Science Innovation, Duke Energy
Sandra Biedron
Chief Scientist, Element Aero and Research Professor, University of New Mexico
Jaydeep Deshpande
Principal Engineer, Eversource Energy
Russell Bent
Scientist, Los Alamos National Laboratory

Make sure to join our Grand Challenge Sessions each day:

EPRI is focused on addressing the electric power industry’s critical “grand challenges” to meet global demands and net-zero carbon goals for 2030, 2050 and beyond. Challenges that AI applications could help solve were identified or further clarified during EPRI’s Reverse Pitch event, and that input was incorporated to arrive at the Grand Challenge topics for this AI Summit. You can join any session each day.

Session #1: Grid-Interactive Smart Communities
Owners and operators of buildings, homes, and power grids can all benefit from the advances in AI that potentially improve building-to-grid-operator communication and optimize cost and energy utilization for producers and consumers. This grand challenge seeks to identify, develop, demonstrate, benchmark, and scale the adoption of AI technologies that support networks of homes and buildings that interact with the power grid to optimize energy efficiency, load shifting, and usage of low- or zero-carbon generation sources for economy-wide decarbonization.

Facilitator: Ram Narayanamurthy, Program Manager, Energy Utilization, Electric Power Research Institute (EPRI)

Session #2: Environmental Impacts
AI technologies can help power system operators to better predict loads, optimize usage of low- and zero-carbon generation sources, improve efficiencies, and lower emissions. It can also be used to help lessen wildfire risks, improve vegetation management, and reduce impacts on wetlands and endangered species. This grand challenge seeks to utilize AI technologies to further reduce carbon emissions and minimize environmental impacts.

Facilitator: Kyri Baker, Assistant Professor, University of Colorado Boulder

 

SEPTEMBER 29

WEDNESDAY

Moderator: Neil Wilmshurst
Senior Vice President, Energy System Resources, Electric Power Research Institute (EPRI)

Tom Siebel
Chairman and CEO, C3 AI

Moderator: Cheryl Ingstad
Former Director, AI and Technology Office, U.S. Department of Energy (DOE)

Kerstin Kleese Van Dam
Director, Computational Science Initiative, Brookhaven National Laboratory

Chris VanLokeren
Chief Information Officer, North Carolina Electric Membership Cooperative (NCEMC)

Trey Gowdy
Energy Data Analytics Program Coordinator, Duke University

Colin Gounden
Chief Executive Officer, Via Science

Heather Feldman
Director, R&D, Electric Power Research Institute (EPRI)

Peter Safarik
Partner, McKinsey & Company

Rolando Vega-Avila
Director of Advanced Enterprise Analytics, CPS Energy

Pedram Jahangiri
Enterprise Solutions Architect, Amazon Web Services

Ankush Agarwal
Director, T&D Analytics, Exelon

Make sure to join our Grand Challenge Sessions each day:

Session #1: Energy System Resiliency
Catastrophic events such as the 2021 Texas winter storm severely disrupt the normal functioning of critical electrical grid infrastructure for significant durations. This grand challenge seeks to identify, develop, demonstrate, benchmark, and scale adoption of AI that can help to predict both weather and grid conditions and intelligently control energy flow to minimize or eliminate the impact of such events in the future and reduce unplanned outage durations by performing critical-path tasks more efficiently.

Facilitator: Liang Min, Managing Director, Bits & Watts Initiative, Stanford University

Session #2: Intelligent and Autonomous Power Plants
Automating tasks enables plant operational and grid integration efficiency improvements. It also preserves energy system assets and equipment while enabling energy system operators to focus on the most valuable maintenance, asset management and integration tasks. AI applications such as digital twins, machine learning/reinforcement learning, machine vision, and automatic diagnostics optimize inspection, monitoring, and utilization. This grand challenge seeks to identify, develop, demonstrate, benchmark, and scale AI applications for automation.

Facilitator: Steve Seachman, Principal Technical Leader, Electric Power Research Institute (EPRI)

Session #3: AI-Enhanced Cybersecurity
Cybersecurity protects important utility data, such as personally identifiable information, critical operational data, and data for AI models. Conversely, AI can be used to augment cybersecurity by helping to monitor network connections and traffic more effectively, identify suspect or anomalous activity, and automatically detect underlying vulnerabilities in software codes. This grand challenge seeks to advance the state-of-the-art in cybersecurity practices through effective implementation of AI, benchmark identified solutions, and scale them up across the electric power industry.

Facilitator: Jeremy Lawrence, Principal Technical Leader, Electric Power Research Institute (EPRI)

800.313.EPRI | 800.313.3774

For future updates, click here 
to join our mailing list.

800.313.EPRI | 800.313.3774

For future updates, click here 
to join our mailing list.