Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

A machine learning method of modern urban building energy modeling

A case study of Chicago

Dados Bibliográficos

ID21234097
AutoresHanlong Wan (0000-0002-3421-6657, Pacific Northwest National Laboratory), Ryan Meyer (0000-0001-9696-7651, Pacific Northwest National Laboratory, autor correspondente)
Ano2025
Volume134
Páginas106886
Data de publicação2025-11-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSustainable Cities and Society (JOURNAL)
Identificadores do periódicoISSN: 2210-6707 • E-ISSN: 2210-6715
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2025.106886
OpenAlexW4414921302
IdiomaEN
Citações recebidas2
Referências citadas40

Building Information Modeling · Building model · Demolition · Energy modeling · Geographic information system · Greenhouse gas · Mean squared error · Metadata · Scalability · Sizing · Building Energy and Comfort Optimization · Energy Load and Power Forecasting · Traffic Prediction and Management Techniques

  • Modeling three-dimensional built-up volume dynamics and projections using long-term satellite observations

    Open Access•Guojiang Yu, Xuecao Li et al.•Sustainable Cities and Society•2026

  • AutoBEM

    Open Access•Hang Li, Shovan Chowdhury et al.•Sustainable Cities and Society•2026

  • Learning representations by back-propagating errors

    Open Access•David E Rumelhart, Geoffrey E Hinton et al.•Nature•1986

  • Permutation importance

    Open Access•André Altmann, Laura Toloşi et al.•Bioinformatics•2010

  • Greedy function approximation

    Jerome H Friedman•The Annals of Statistics•2001

  • Urban building energy modeling from geo-referenced energy performance certificate data

    Open Access•Fatemeh Johari, Farshid Shadram et al.•Sustainable Cities and Society•2023

  • Assessing how wind environments impact urban building energy

    Open Access•Pengyu Jie, Meifang Su et al.•Sustainable Cities and Society•2025

  • Climate change impacts on city-scale building energy performance based on GIS-informed urban building energy modelling

    Open Access•Meng Wang, Jingfeng Zhou et al.•Sustainable Cities and Society•2025

  • Pathways to urban net zero energy buildings in Canada

    Open Access•Yang Li, Haibo Feng•Sustainable Cities and Society•2025

  • Multi-source data fusion-driven urban building energy modeling

    Open Access•Sebin Choi, Dong Hyuk Yi et al.•Sustainable Cities and Society•2025

  • CityEL

    Open Access•Chengcheng Song, Jingjing Yang et al.•Sustainable Cities and Society•2025

  • Machine learning based prediction of long-term energy consumption and overheating under climate change impacts using urban building energy modeling

    Open Access•Ilkim Canli Akyol, Eren Gökberk Halacli et al.•Sustainable Cities and Society•2025

  • Dynamic impacts of vegetation growth and urban development on microclimate and building energy consumption

    Open Access•Haoqiang Fu, Hanxun Fu et al.•Sustainable Cities and Society•2025

  • Developing urban building energy models for shanghai city with multi-source open data

    Open Access•Chengcheng Song, Deng Zhang et al.•Sustainable Cities and Society•2024

  • GeoBEM

    Open Access•Shihong Zhang, Liutao Chen et al.•Sustainable Cities and Society•2025

Obras citantes distintas2
Citações por ano2
Intervalo de citações2026 - 2026 (1)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 2
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae