AGENDA DETAIL



SEPTEMBER 28

TUESDAY

11:00 AM - 12:00 PM

Adopting and Scaling AI for the Electric Power Industry

This executive panel, hosted by EPRI's Neil Wilmshurst, Senior Vice President of Energy System Resources, will provide actionable insights on how utility and generation leaders can work with AI companies to develop, test, deploy, and scale AI adoption across their organizations. The discussion will dive into the progress of digital transformation efforts from the executive viewpoint to make utilities more efficient, reliable, and environmentally responsible.

Neil Wilmshurst

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

Mike Howard
EPRI, CEO Emeritus, and World Energy Council, Vice Chair
Gil Quiniones

Gil Quiniones
President & Chief Executive Officer, New York Power Authority (NYPA)
Mike Rencheck

Mike Rencheck
President and CEO, Bruce Power
Audrey Zibelman

Audrey Zibelman
Vice President, X – The Moonshot Factory
12:30 PM - 1:30 PM

IoT and Edge AI

Large volumes of robust and low-cost sensors provide more data than has ever been available before. However, streaming the available data back and forth between sensors and using centralized hardware resources for decision-making can congest network communications. This panel will explore how the advent of Edge AI – where AI algorithms are processed locally on devices – can offer utilities and operators faster and more secure data processing without network congestion. The discussion will provide insights that electric power industry leaders can use to inform potential adoption of Edge AI solutions to advance efficiencies.

Moderator:
Mark McGranaghan, EPRI Fellow, Electric Power Research Institute (EPRI)

Speakers:
  • 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
 2:00 PM – 3:00 PM

Ethics and Explainability in AI

The electric power industry has begun to adopt more AI applications, as experts have been able to provide more concrete, specific explanations of how and why an algorithm arrived at the decision or recommendation it made. The “how and why” supports staff in more efficiently performing analysis, identifying issues and improving the data. This session delves into how the electric power industry is utilizing best practices for ethics and explainability in AI systems.

Moderator:
Sal Gill, Head of Digital Strategy & Market Innovation - Energy and Utilities, SAS

Speakers:

  • 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
 3:30 PM - 5:30 PM

Grand Challenge Sessions (held concurrently)

What is a Grand Challenge? See legend below for more detail.

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

11:00 AM - 12:00 PM

Breaking Barriers and Creating Value – Global AI Deployment Successes

EPRI’s Neil Wilmshurst, Senior Vice President of Energy System Resources, will host a deep dive conversation with C3 AI Chairman and CEO Tom Siebel, exploring several enterprise AI success stories across the globe. C3 AI has partnered for many years with global energy providers Enel and Engie, and U.S.-based utility providers New York Power Authority (NYPA) and Consolidated Edison (ConEd) on deployments of Smart Grid Analytics, Enterprise AI, machine learning, and IoT applications. This discussion will explore a unique collaborative process or insight from each project.

  • Enel operates the world’s largest enterprise IoT system with millions of smart meters across Italy and Spain. The company engaged in an enterprise-wide digital transformation with C3 AI to improve its fraud detection and predictive maintenance for electricity distribution assets.
  • Engie, the largest power producer in the world, chose C3 AI to create and implement a platform for enterprise-wide digital transformation and a Center of Excellence that spans customer service, metering, energy management and maintenance.
  • NYPA, the largest state public power organization in the U.S., chose C3 AI to provide data-enabled energy management services to its customers by aggregating enormous volumes of disparate data, including: real-time smart meter data, building management systems, end-use equipment controls, sensors, weather data, occupancy and daylight data, solar data, and utility bills.
  • ConEd selected C3 AI to develop an enterprise data analytics platform to improve operational insight and customer service for its more than 4 million customers. The system provides real-time status at any level of aggregation—from an individual meter to the overall system—and provides a prioritized list of meters that require attention.

Neil Wilmshurst

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

Tom Siebel
Chairman and CEO, C3 AI
12:30 PM - 1:30 PM

Industrywide Data Sharing and Governance

Data is the “fuel” for the AI and machine learning “engines.” Adequate quantities of high-quality, curated data are critical for the creation of successful AI/ML algorithms and deployment across the electric power industry. Just as an engine can be degraded with poor fuel, poor data quality will degrade the performance of AI algorithms. This session will explore successful data curation, governance, and sharing that will benefit the electric power industry, as well what barriers need be overcome to increase quality and sharing.

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

Speakers:
  • 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
 2:00 PM – 3:00 PM

From Proof of Concept to Enterprise-Wide Adoption

As larger, more robust datasets combine with advancing computational power, AI will play an ever-increasing role in utility and generation operators’ business operations. To realize the full value of AI, utilities and operators need to understand a structured process is needed to scale adoption, from proof of concept to enterprise-wide implementation. This panel will explore the complexities, tasks, and necessary support and infrastructure to be successful. Utility and plant management experts will discuss successes and best practices they’ve experienced to scale AI adoption.

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

Speakers:
  • 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
 3:30 PM - 5:30 PM

Grand Challenge Sessions (held concurrently)

What is a Grand Challenge? See legend below for more detail.

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)


Grand Challenge Sessions

What are the Grand Challenge Sessions?
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.

How will these sessions work?
During these breakout sessions, participants will work to determine goals and success criteria for Grand Challenge topics as well as actionable next steps and will identify electric power representatives and AI experts who will take those steps to scale the identified AI applications that help to solve each challenge. Participants will also discuss actions for advancing identified key enablers across the electric power industry. Ultimately, the aim for each of these breakouts is for the group to leave with actions to prepare for the next meeting to further collaborative efforts and make progress on the grand challenges.

800.313.EPRI | 800.313.3774

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800.313.EPRI | 800.313.3774

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