See how solar, batteries, EVs and heat pumps are reshaping home energy use, with data drawn from thousands of real GB households.
Why legacy data falls short
Old energy assumptions no longer hold
Low carbon technology (LCT) adoption is accelerating, as more homes take up solar, battery storage, electric vehicles and heat pumps, their energy profiles diverge sharply from the norm, creating a patchwork of behaviours that legacy data simply wasn’t built to explain.
Making the assumptions and data that once guided planning unfit for purpose.
Turning adoption data into transition insights
Our monitoring devices track low carbon technology adoption across thousands of homes, tagging households by the technologies they use, including solar, battery storage, EVs and heat pumps.
Combined with our energy consumption data, this reveals how the transition is actually unfolding, home by home.
- Compare consumption patterns between LCT and non-LCT homes
- Understand how solar and battery storage affect grid demand
- Isolate the load added by EV charging and electric heating
- Track the pace and shape of decarbonisation across the country
- Build a robust evidence base for research and net zero planning
- Anticipate infrastructure needs as electrification accelerates
By connecting adoption to behaviour, we help you build a genuine, evidence-based picture of the energy transition.
How it works
Turning transition data into better decisions
Our low carbon technology insight builds on Chameleon’s enhanced home profiling, combining consumption data with rich metadata about each household. Each step turns raw readings into a clear view of the transition.
For an even deeper view, LCT data can be combined with disaggregation to isolate specific loads such as EV charging and electric heating.
Trusted by housing and energy leaders
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Frequently asked questions
We tag households across four key low carbon technology types: solar panels, battery storage, electric vehicles and heat pumps. This lets you study each technology’s impact individually, or explore how they combine within a single home, giving you a complete picture of how the transition is taking shape in real GB households.
Electrification adds significant new loads to the grid, particularly from EV charging and electric heating. By linking adoption tagging to real consumption data, we help you see where and how these loads are emerging, so you can plan infrastructure, forecast demand and anticipate pressure points with far greater confidence than legacy models allow.
Yes. Because we tag adoption alongside detailed energy data, you can directly compare the consumption patterns of homes with solar, batteries, EVs or heat pumps against those without. This reveals the true, measurable impact of each technology on a household’s energy use, rather than relying on assumptions or estimates.
Our insight draws on energy data from over 60,000 GB households, with 30,000 homes enhanced by user-submitted tagging that includes low carbon technology adoption. This scale means you can identify robust, statistically meaningful trends across a broad range of property types, regions and household circumstances.
Understanding real LCT behaviour lets you design tariffs and services that reflect how these households actually use energy, such as time-of-use tariffs built around EV charging patterns or products tailored to homes with solar and battery storage. The result is offerings grounded in genuine behaviour rather than guesswork.
Yes, and this is where the data becomes especially powerful. By combining LCT tagging with disaggregation of 30-minute data feeds, you can isolate specific loads such as EV charging and electric heating within a home. This gives you a precise, category-level view of exactly how each technology contributes to overall demand.