A machine learning method of modern urban building energy modeling
A case study of Chicago
Dados Bibliográficos
| ID | 21234097 |
|---|---|
| Autores | Hanlong Wan (0000-0002-3421-6657, Pacific Northwest National Laboratory), Ryan Meyer (0000-0001-9696-7651, Pacific Northwest National Laboratory, autor correspondente) |
| Ano | 2025 |
| Volume | 134 |
| Páginas | 106886 |
| Data de publicação | 2025-11-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Sustainable Cities and Society (JOURNAL) |
| Identificadores do periódico | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Editora | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2025.106886 |
| OpenAlex | W4414921302 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 40 |
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
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Permutation importance
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Climate change impacts on city-scale building energy performance based on GIS-informed urban building energy modelling
Pathways to urban net zero energy buildings in Canada
Multi-source data fusion-driven urban building energy modeling
CityEL
Machine learning based prediction of long-term energy consumption and overheating under climate change impacts using urban building energy modeling
Dynamic impacts of vegetation growth and urban development on microclimate and building energy consumption
Developing urban building energy models for shanghai city with multi-source open data
GeoBEM
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 2 |
| Intervalo de citações | 2026 - 2026 (1) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |