UK Power Networks (UKPN) is harnessing artificial intelligence (AI) to reveal hidden solar energy generation, helping grid operators manage energy flows more effectively and supporting the UK’s journey to net zero.
Thousands of homes and businesses generate solar power daily, but because this happens behind smart meters, much of it goes unmeasured.
The ‘AI for Visibility and Forecasting of Renewable Generation’ project, developed in partnership with Open Climate Fix (OCF), addresses this by using machine learning to estimate rooftop solar capacity previously invisible to grid operators.
This initiative combines data from UK Power Networks’ Open Data Portal with OCF’s open-source technology.
By mapping rooftop solar generation without relying on imagery, the AI-driven model analyses historical weather data, satellite information and substation measurements to estimate real-time solar output.
Better visibility of rooftop solar allows Distribution Network Operators (DNOs) to predict energy flows accurately, ensuring investments and upgrades are precisely targeted.
This forecasting capability becomes increasingly crucial as solar installations grow—from 20 gigawatts in 2023 to a projected 90 gigawatts by 2035.
Luca Grella, Head of Innovation at UK Power Networks, said: “This project is about shining a light on the solar power we can’t currently see. By using AI to estimate and forecast rooftop solar generation, we’re unlocking a clearer, smarter view of the electricity system—one that helps us plan better, reduce costs and accelerate the journey to net zero.”
Dan Travers, co-founder of Open Climate Fix, added: “Our collaboration with UK Power Networks is the perfect example of how the UK can harness AI to proactively support the transition to net zero. We’re thrilled to deliver work that directly benefits consumers.”
Home solar alone could save households around £2.65 billion annually by 2035, underscoring the significance of accurately forecasting and managing solar energy.
UKPN shines a light on ‘hidden’ solar with AI appeared first on Energy Live News.