Leveraging machine learning for data-driven building energy rate prediction

• Published in: Results in engineering Vol. 26; p. 104931
• Main Authors: Eslamirad, Nasim, Golamnia, Mehdi, Sajadi, Payam, Pilla, Francesco
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2025; Elsevier
• Subjects: Building energy rate (BER); Data-driven approach; Machine learning classification models; Urban building energy modelling (UBEM); Urban energy analysis; Urban energy analysis; Urban building energy modelling (UBEM); Machine learning classification models; Data-driven approach; Building energy rate (BER)

•Proposes a novel data-driven methodology for predicting Building Energy Ratings (BER) in urban areas, with Dublin, Ireland, as a pilot case.•Integrates geospatial, building-specific, and neighborhood-scale environmental data for BER modeling.•Utilizes advanced Machine Learning algorithms (RF, DT, K...