R4 Challenge 1: demonstrate greater use of machine learning, artificial intelligence and quantum computing to improve real-time monitoring and optimisation of energy networks.
Innovation Challenge 1: Theme 1: novel methods to increase electrical capacity from existing assets or support faster and more efficient connection methods including using digital innovations.
The connection request queue is at least 723GW and growing, driven by low-carbon technologies, renewable energy and new developments. Assessing the overall network impact from this volume of applications is challenging, making it difficult to assess available headroom and future investment needs. FastTrack, an AI solution, aims to simulate the impact of both small and large-scale connection requests using data on network capacity, load, and external factors, to present a “rolled up” view of overall demand. This will provide DNOs with risk-weighted insights to make faster, more informed decisions on future investments, helping network planners prioritise interventions improving delivery times.
Once operational, FastTrack will enable DNOs to:
We have been awarded funding for Discovery, and are now preparing for the Project Kick-Off.
£158,926 total
£143,033 SIF funding
1st February to 1st May 2025
Gemma Ennis