AI-driven energy optimisation in residential assets

Slättö tested an AI-driven heat curve optimisation on a new-build residential asset in Uppsala, Sweden, partnering with provider Nrlyze to deploy apartment-level temperature sensors and reduce energy waste in real time. The pilot delivered a 13% reduction in heating energy consumption and a yield on cost above 30%, with no impact on tenant comfort. The approach is now standard across 12 assets in Slättö's residential portfolio.