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nUBEM: National UBEM with Energy Performance Certificates and Artificial Intelligence

Name: nUBEM: National UBEM with Energy Performance Certificates and Artificial Intelligence
Keywords: Machine Learning, Data driven approaches, national-scale Urban Building Energy Model, National building stock, Progress indicators, UBEM, Energy Performance Certificate, Building energy efficiency, Urban Building Energy Modelling, Building carbon footprint

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Jan 2025 English Publisher:Zenodo

Authors: Beltrán Velamazán, Carlos; Monzon Chavarrias, Marta; López Mesa, María Belinda;

doi: 10.5281/zenodo.14524562 , 10.5281/zenodo.14524563

nUBEM: National UBEM with Energy Performance Certificates and Artificial Intelligence

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Abstract

The nUBEM model offers a powerful AI-driven framework for evaluating the energy performance and greenhouse gas emissions of residential buildings on a national scale. By enabling urban and nationwide insights, it supports comprehensive analysis of building characteristics and energy performance across the residential building stock. This model is useful for the design of targeted energy efficiency policies and assessing their effectiveness in reducing greenhouse gas emissions. The code in this repository is part of the paper 'Predicting Energy and Emissions in Residential Building stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence', published in Applied Sciences in 2025 and written by Carlos Beltrán-Velamazán, Marta Monzón-Chavarrías and Belinda López-Mesa from the Built4Life Lab, University of Zaragoza - I3A (Spain).

Keywords

Machine Learning, Data driven approaches, national-scale Urban Building Energy Model, National building stock, Progress indicators, UBEM, Energy Performance Certificate, Building energy efficiency, Urban Building Energy Modelling, Building carbon footprint, Energy renovation policies

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