Official implementation of "Predicting building types using OSM"
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Updated
Feb 8, 2026 - Jupyter Notebook
Official implementation of "Predicting building types using OSM"
Life Cycle Assessment of Technical Building Services of Large Residential Building Stocks using Semantic 3D City Models
Go CLI that extracts geometric attributes from 3D city models (CityGML/CityJSON) and classifies buildings against TABULA/EPISCOPE building typologies for heating demand estimation.
Occupancy Schedule Generator (OSG)
Canadian residential buildings aggregator for the CANOE energy model (Temoa-compatible datasets)
Parametrisches Desktop-CAD für Wohngebäude mit C++20, Qt 6, OpenCascade und hexagonaler Architektur.
XGBoost implementation in predicting district annual heating demand from residential buildings
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