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AI in power systems

Please note: all timings are listed as Greenwich Mean Time (GMT).


Chair’s welcome and introduction

Mark Mcgranaghan, Fellow,  EPRI Europe


Accelerating and Scaling Adoption of AI for the Electric Power Industry

  • Clear actionable strategies for achieving global electricity demand while meeting new climate goals are critical to the further of the electric power industry. AI must be tool in utilities, operators and new asset construction organizations’ strategy toolbox
  • EPRI’s artificial intelligence initiative is working to build an AI and electric power community; collect, curate and share data securely; identify new use cases for key datasets; facilitate demonstrations of solutions; develop data science training for industry professionals and deepen AI expertise across the industry
  • EPRI’s AI experts have been researching a variety of projects to improve the grid and energy systems of today and the future, including grid-integrated smart cities, environmental impacts, resiliency and outage optimization, autonomous plants and grids, and AI-enhanced cybersecurity.  The projects aim to provide insight from historical reports, use prognostics to anticipate future actions, use automation to increase reliability, and optimize processes to increase efficiencies, among other benefits. 

Heather Feldman, Director Innovation Department, Nuclear, EPRI


Carolina Tortora, Head of Digital Transformation and Innovation Strategy, National Grid ESO


Break and Networking


Transforming Energy through AI

  • How Artificial Intelligence (AI) is transforming the energy sector
  • Energy Systems Catapult’s whole systems approach to considering the future impact of energy sector changes
  • Innovation and best practice within Energy, Machine Learning, Data Science and AI

Sam Young, Practice Manager - Data Science & AI, ES Catapult, UK


"Fireside chat" discussing the use of AI to address a range of use cases in the energy sector

  • AI has a wide range of applicability from optimising systems of systems to distributed decision making
  • AI requires significant amounts of data to train, we will provide an approach to planning for this
  • AI presents specific challenges such as bias and drift, we will discuss examples and approaches to mitigate these.

Erwin Frank-Schultz, Executive IT Architect, CTO for Energy, Environment and Utilities - UK & Ireland IBM

Valerie Lynch, Founder, AND Technology Research


Panel discussion:

Take the opportunity to put questions to our expert panel of speakers, and share solutions with your peers to overcome the challenges you are facing.

Heather FeldmanDirector Innovation Department, EPRI

Erwin Frank-Schultz,  CTO for Energy, Environment and Utilities - UK & Ireland IBM

Valerie Lynch, Founder, and Technology Research

How do AI and digital twins fit together?

Mark Enzer, Head of the National Digital Twin Programme, Centre for Digital Built Britain


Chair’s final remarks and close