Assessing environmental performance in early building design stage
An integrated parametric design and machine learning method
Bibliographic Data
| ID | 21233717 |
|---|---|
| Authors | Kailun Feng (0000-0002-9310-9093, Harbin Institute of Technology), Weizhuo Lu (0000-0002-9569-8602, Luleå University of Technology, corresponding author), Yaowu Wang (0000-0002-2306-9807, Ministry of Industry and Information Technology) |
| Year | 2019 |
| Volume | 50 |
| Pages | 101596 |
| Publication date | 2019-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2019.101596 |
| OpenAlex | W2945033133 |
| Language | EN |
| Citations received | 5 |
| References cited | 33 |
Architectural engineering · Building Design · Civil engineering · Cluster analysis · Engineering design process · Environmental design · Machine learning · Parametric design · Parametric statistics · Probabilistic design · Simulation · Uncertainty analysis · Building Energy and Comfort Optimization · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Sustainable Building Design and Assessment · Artificial Intelligence
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Perspective on Artisinal and Small-scale gold Mining
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How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
Energy saving potential for residential buildings in hot climates
Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase
| Citations per year | 0.83 |
|---|---|
| Citation span | 2020 - 2024 (5) |
| Highly cited | No |