Leveraging machine learning for data-driven building energy rate prediction

Leveraging machine learning for data-driven building energy rate prediction

This paper presents a novel, data-driven approach for predicting Building Energy Ratings (BER) in urban environments, using advanced Machine Learning (ML) algorithms. Focusing on Dublin, we integrate diverse geospatial datasets with building-specific and neighbourhood-scale features to classify BER....

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Bibliographic Details
Main Authors: Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Urban building energy modelling (UBEM)
Urban energy analysis
Data-driven approach
Machine learning classification models
Building energy rate (BER)
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025010072
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