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FfE — Forschungsstelle für Energiewirtschaft (FfE Solutions) — Building-level photovoltaic geodata product (DETECT – Solar): AI computer-vision detection of PV arrays and every other rooftop object from publicly available aerial and satellite imagery, fused with 3D building models to derive roof orientation, tilt, usable area and unsuitable-surface exclusions, and to produce hourly energy-yield estimates for both installed and technically possible PV — delivered as geo-located shapes exportable as CSV, GeoJSON or Excel, at scale from single municipality to national extent.. High-quality, inst…
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Building-level photovoltaic geodata product (DETECT – Solar): AI computer-vision detection of PV arrays and every other rooftop object from publicly available aerial and satellite imagery, fused with 3D building models to derive roof orientation, tilt, usable area and unsuitable-surface exclusions, and to produce hourly energy-yield estimates for both installed and technically possible PV — delivered as geo-located shapes exportable as CSV, GeoJSON or Excel, at scale from single municipality to national extent.
From 6 yearsCoverage Utilities · IndustrialsAsset class Equities
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FfE — Forschungsstelle für Energiewirtschaft (FfE Solutions) — Building-level photovoltaic geodata product (DETECT – Solar): AI computer-vision detection of PV arrays and every other rooftop object from publicly available aerial and satellite imagery, fused with 3D building models to derive roof orientation, tilt, usable area and unsuitable-surface exclusions, and to produce hourly energy-yield estimates for both installed and technically possible PV — delivered as geo-located shapes exportable as CSV, GeoJSON or Excel, at scale from single municipality to national extent.. High-quality, inst…
Ffe offers (Geospatial, Alternative, Reference) — Germany-first coverage at building granularity: ~20-25M buildings in the German building stock, of which several million carry detected PV; each building yields multiple labelled roof planes with suitability and hourly-yield attributes. Plausibly 100M+ labelled roof-plane records at national extent, plus the expert-annotated imagery training corpus (order of tens of thousands to hundreds of thousands of manually labelled roof tiles/objects)..
Distribution grid expansion and connection-capacity planning; municipal and regional energy planning against decarbonisation targets; identifying prosumer behaviour and self-consumption patterns; PV installer market sizing and lead scoring; insurer/asset-owner portfolio features (roof type, PV presence, suitability); combination studies with heat pumps and battery storage; and computer-vision training/evaluation data for rooftop-object and PV detection models.
The data is with 6 years of history.
Coverage spans Europe; Renewable Energy Power and Facilities, Research and Consulting Services, Electric Utilities; geospatial, alternative, reference; equities.
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