AI for Net Zero Research Community

Our ADD-TREES project is one of seven  individual AI for Net Zero projects to receive funding from the UKRI AI for Net Zero Funding Call – which will research novel Artificial intelligence techniques to enable UK’s net zero target.

These projects are investigating the use of artificial intelligence (AI) in addressing net zero challenges across four themes: energy, transport, environment agricultural and food systems, to find solutions for net zero challenges through the development and use of AI and create a community of AI and Net Zero researchers.

Below you can find out more about the projects and how you can get involved.

Eco-AI: Enabling CO2 capture and storage using AI

Lead Professor Ahmed Elsheikh, Herriot-Watt University

Find out more Eco-AI

VPP-WARD: Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation

Lead: Professor Hongjian Sun, Durham University

Find out more about VPP-WARD

FlowAI: Real-time digital optimisation and decision making for energy and transport systems

Lead: Georgios Rigas, Imperial College London

Find out more about Flow-AI

AI4AD: Artificial intelligence enabling future optimal flexible biogas production for net-zero

Lead: Dr Michael Short, University of Surrey

Find out more about AI4AD

Miscanthus AI: Plant selection and breeding for Net Zero 

Lead Professor John Doonan, Aberystwyth University

Find out more about Miscanthus-AI

Self-Learning Digital Twins for Sustainable Land Management

Lead: Professor Heiko Balzter, University of Leicester

Find out more

ADD-TREES: AI-elevated Decision-support via Digital Twins for Restoring and Enhancing Ecosystem Services

Lead: Professor Danny Williamson, University of Exeter

Find out more about ADD-TREES