20/11/2024 - Value in energy data: Using AI to design the future power generation mix

Planning the future electricity system for Great Britain is a complex task due to the scale of the system and the many uncertainties that surround its future use. As the system grows, while also transitioning to be less carbon intensive, many choices will need to be made by government, the system operators, asset owners and investors. These choices will affect the carbon emissions of the system, the costs and the security of supply for consumers.

This talk will demonstrate how we have used open energy data and tools to develop an AI system to support energy policy planning. We have trained ‘reinforcement learning’ algorithms to optimise a design for the GB power sector to understand which mix of technologies policy makers should incentivise over the next five to ten years. Our aim with this work is to highlight the potential for AI techniques to support energy system planners and policy makers.

We will cover the steps taken to develop the AI system, what we found out and our plans for the future.

Value in energy data: Using AI to design GB’s future power generation mix

Calendar

Wednesday 20 November 2024

Clock

12pm

Map Pin

Online

Duration: 1hr

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Speaker

Andy Moore
Andy is a decision scientist with a focus on helping the world decarbonise, making our lives more secure, more affordable and our systems more resilient.
He is Group Leader for Strategic Modelling at Frazer-Nash Consultancy, where he has spent fifteen years developing advanced analytics solutions in the energy industry and other sectors. Andy’s group use systems thinking to develop innovative data science solutions and often apply these to policy, strategy or high value business challenges.
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