Mapping Solar Power
Using AI, we’re mapping “hidden” rooftop solar capacity, enabling the electricity system to run more efficiently.
Costs of solar energy have dropped dramatically in the last decade, spurring the rapid growth of rooftop solar.
This has created a challenge for network operators, as these new energy sources are spread out, numerous and often not tracked. This makes it difficult to plan how much electricity should be moved around the network.
To manage the grid efficiently, distribution network operators in local areas need to understand how much solar power is being generated.
Through cutting-edge AI models, we are examining how power flows through the network, helping us identify where there is rooftop solar power generation.
Through this data-led innovation to map and monitor the grid we are actively enabling an increase in solar rooftop generation, whilst also dramatically cutting hardware costs for both electricity grid operators and rate payers.
Impact in the UK alone
Cost savings for District Network Operators
£0
Forecast cost savings
Our Partners
Case Studies
UK Power Networks (UKPN)
We’re working with UKPN to improve their ability to manage the electricity grid by building AI tools that accurately estimate and forecast unmetered solar energy generation.
This will enable UKPN, alongside future Distribution System Operators, to better anticipate power flows, reducing costs and improving long-term network planning.
More of our projects
Granular electricity and weather data is a vital part of the energy transition, but is often hard to access and difficult to use. We’re changing that.
A cutting-edge AI solar forecast that predicts solar energy generation from minutes to hours ahead.
Our unique innovation predicts cloud movements through satellite imagery, dramatically improving solar generation forecasts.
Built from the success of our solar forecast, discover how we’re revolutionising wind forecasting.