AGENDA OVERVIEW

For speaker information, click here.

Note: All times are Eastern Daylight Time.

Panel Insights and Discussions

Grand Challenge Sessions

TIME
TUESDAY, SEPTEMBER 28 WEDNESDAY, SEPTEMBER 29

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.

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.

Break

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.

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.

Break

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.

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.

Break

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.

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.

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.

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.

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.

Day Concludes Summit Concludes

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.

For speaker information, click here.

Note: All times are Eastern Daylight Time.

Panel Insights and Discussions

Grand Challenge Sessions

TIME
TUESDAY, SEPTEMBER 28

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.

Break

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.

Break

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.

Break

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.

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.

Day Concludes
TIME
WEDNESDAY, SEPTEMBER 29

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.

Break

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.

Break

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.

Break

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.

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.

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.

Summit Concludes

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

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.