What is the minimum required (and desired) data standards and processes are required to enable AI/ML to effectively engage with Energy System (e.g. optimising millions of distributed assets with greater precision thus reducing the reliance on blunt capacity market instruments)?
Background
BEIS has committed to ending the UK’s contribution to global warming by achieving net zero greenhouse gas emissions by 2050. Our work towards becoming a leader in green technologies and clean energy will drive economic growth, all whilst accelerating global climate action through strong international leadership.
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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AI Powered Agile Energy Network Operation and Investment
Today’s power networks are largely preconfigured and rigid, limiting their ability to adapt to a large influx of renewables, low carbon technologies, and emerging threats. Recent events, from price hikes to supply ...
Funded by: EPSRC
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Why might this be relevant?
The project addresses the minimum required data standards and processes for AI/ML to engage with Energy System effectively.
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AI-Powered Digital Twin for the Power System
The UK is committed to achieving Net Zero emissions by 2050 (BEIS, 2019). Achieving this requires extensive reconfiguration of our energy system from 'top-down' to 'bottom-up', integrating new low-carbon technologies (e....
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Why might this be relevant?
The project specifically addresses the question by developing an AI-powered digital twin for the power system to optimize energy assets.
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Supergen Network Plus in Artificial Intelligence for Renewable Energy (SuperAIRE)
SuperAIRE aims to establish a world-leading network connecting academia, industries, and policymakers across the spectrum of artificial intelligence (AI) for renewable energy (RE), particularly wind, solar, marine, and b...
Funded by: EPSRC
Lead research organisation: University of Warwick
Why might this be relevant?
The project specifically focuses on AI for renewable energy systems, addressing data standards and processes to optimize energy systems.