Official implementation of "Predicting building types using OSM"
-
Updated
Feb 8, 2026 - Jupyter Notebook
Official implementation of "Predicting building types using OSM"
Typologie der Nichtwohngebäude (NWG) in Deutschland, entwickelt auf Basis der Ergebnisse des ENOB:dataNWG Projektes. Typology of the non-domestic buildings in Germany, developed on the results of the ENOB:dataNWG project.
In this repository multi-zone average usage profiles for non-domestic building usage categories in Germany are provided. These multi-zone average usage profiles allow the simulation of single-zone building models while at the same time reducing the "single-zone" uncertainty compared to a multi-zone approache drastically.
This repository provides regression models to 'estimate' the most likely values for imputation purposes. The models are statistically representative of the German non-domestic building stock and cover DIBS input variables with a larger probabolity of missing values.
ENOB:DataNWG on-site inspection surveying masks, data management, TEK-tool demand calculation and reporting tool-chain
CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 4
Add a description, image, and links to the non-residential-buildings topic page so that developers can more easily learn about it.
To associate your repository with the non-residential-buildings topic, visit your repo's landing page and select "manage topics."