Transform address-based energy data into a consistent foundation for spatial analysis. This demo maps energy consumption across an entire federal state to 100 m Open AreaSeals, making local demand patterns analysable through geoKPIs.

Explore consumption totals, averages and distributions across 100 m, 1 km, 10 km and 100 km layers. Identify demand concentrations, compare municipalities and connect additional information through the same addressable space objects.

As new measurements arrive, stable OAS identities provide the foundation for continuous space-and-time series—from historical comparisons to real-time analytics.

Analyse aggregated spatial patterns while protecting address-level detail through appropriate aggregation and access controls. Open AreaSeals support privacy-conscious analysis and a GDPR-compliant implementation.

Turn collected data into reusable intelligence for energy planning, infrastructure development, BI, machine learning and AI.