Abstract

To address the pressing issue of urbanization and its significant energy consumption, the development of urban building energy modeling (UBEM) is an ongoing mission. This research explores the integration of machine learning (ML) models into UBEM. through a comprehensive analysis of various deep learning approaches, this work aims to enhance our understanding of UBEM and pave the way for more in-depth ML-UBEM studies.

Department(s)

Biological Sciences

Publication Status

Open Access

Keywords and Phrases

LSTM; RNN; Transformer; Urban Building Energy Modeling

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Association for Computing Machinery, All rights reserved.

Publication Date

15 Nov 2023

Included in

Biology Commons

Share

 
COinS