About 
the webinar 

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Energy systems are generating more data than ever. The challenge is no longer simply collecting it. It is turning that data into better decisions about how we plan, operate, and invest in physical infrastructure.

Drawing on her research across electricity networks and markets, renewable energy, storage, flexibility, electric vehicles and whole energy system modelling, Aoife Foley will explore where data can make a practical difference. She will consider how smart meter and network data can help us understand demand, distributed energy resources and energy poverty, assess asset conditions, unlock flexibility and guide infrastructure investment.

The webinar will also examine the changing relationship between artificial intelligence (AI) and energy. Aoife will consider both the opportunities AI creates for extracting useful insight and the growing electricity demand from the data centres that support it.

When
September 16, 2026
Where
This event will held online.

What you'll learn

How to identify where energy data can genuinely improve a decision

  1. What smart meter and network data can reveal about changing system needs

  2. How data can support asset management and infrastructure investment

  3. How electric vehicles and storage can help unlock flexibility

  4. The opportunities and energy-system implications of AI

Our
Speaker

Aoife Foley

Chair in Net Zero Infrastructure, University of Manchester

Professor Aoife Foley is Chair in Net Zero Infrastructure in the School of Engineering at The University of Manchester. She has more than 30 years of experience across industry and academia, including around 15 years delivering major infrastructure projects in the energy, telecommunications, and pharmaceutical sectors. Her research focuses on energy systems, infrastructure, and the net zero transition, spanning electricity networks and markets, renewable energy, forecasting, storage, electric vehicles, flexibility, interconnection, energy system modelling and emerging AI and data centre demand. She uses a broad range of engineering, statistical, probabilistic, computational, and techno-economic methods to understand complex energy system problems and support infrastructure, policy, and investment decisions. She has advised governments, regulators, and industry, ranks among the Stanford and Elsevier Top 2% of scientists worldwide, and is an editorial board member of the Nature Portfolio journal Scientific Reports.

Secure your place today

Register now to join the conversation and explore how better use of asset data could 
unlock value across the energy system.

Register Now

This webinar is facilitated by