Detailed Record



A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling


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.
Authors Ting-Yu Dai ORCID , Aysegul Demir Dilsiz University of WyomingORCID , Dev Niyogi ORCID , Zoltán Nagy ORCID
Journal Info Not listed | BuildSys '23
Publication Date 11/15/2023
ISSN Not listed
TypeKeyword Image article
Open Access bronze Bronze Access
DOI https://doi.org/10.1145/3600100.3626277
KeywordsKeyword Image Energy Simulation (Score: 0.515088)