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28/04/2025 - Weave: smart meter data unlocked

This webinar will explore Weave, a new data repository for UK smart meter data. We will discuss the importance and challenges of accessing smart meter data, and show how Weave radically simplifies access. We will hear how networks are considering their use of smart meter data, and learn from successful real-world applications of Weave data.

Whether you are from an energy network, asset developer, researcher, policy-maker, or startup, you’ll hear how to access the best electricity demand data available for the UK.

Weave: smart meter data unlocked

Calendar

Monday 28 April 2025

Clock

2pm

Map Pin

Online

Duration: 1.5hrs

Register now

Speakers

Pete Clutton-Brock
Pete is a co-founder of the Centre for AI & Climate, where he supports the application of AI to climate-related challenges. He is co-founder and CEO of Yottar, a platform that helps asset developers identify spare capacity on the grid. He has previously worked for the UK Government on national and international energy and climate policy.

 

Jon Thompson
Jon Thompson is the product lead at the Centre for AI & Climate, where he has led the product development of Weave. With over a decade of experience in the energy and sustainability sector, Jon has held senior product roles in climate-tech startups, including Head of Product at Fabriq and Senior Product Manager at the Energy Systems Catapult.

 

Steve Day
Steve Day is the Engineering Lead at the Centre for AI & Climate, where he has led the technical development of Weave. He previously served as Technical Lead at Kaluza Flex, leading the development of their energy flexibility platform. Steve has a background of working with data-centric startups and NGOs.

 

Patrick de Mars
Patrick is Senior Data Scientist at National Energy System Operator (NESO), where he applies AI to enhance decision-making in the national control room. He holds a PhD in reinforcement learning for electricity networks and previously served as Lecturer in Energy and Data at University College London (UCL), focusing on AI-driven optimisation of power generation and smart heating systems. Patrick previously worked at UK Power Networks, specialising in short-term forecasting and modelling distributed energy resources.

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