Assessing urban morphology's impact on solar potential of high-rise facades in Hong Kong using machine learning
An application for Fipv optimization
Bibliographic Data
| ID | 21229930 |
|---|---|
| Authors | Lulu Tao (0009-0005-8659-1001, Hong Kong University of Science and Technology), Mengmeng Wang (0000-0001-6285-179X, Hong Kong University of Science and Technology), Changying Xiang (0000-0002-8271-0801, Hong Kong University of Science and Technology, corresponding author) |
| Year | 2024 |
| Volume | 117 |
| Pages | 105978 |
| Publication date | 2024-12-01 |
| 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.2024.105978 |
| OpenAlex | W4404321537 |
| Language | EN |
| Citations received | 4 |
| References cited | 67 |
Architectural engineering · Civil engineering · Urban Morphology · Urban planning · Engineering · Environmental Science · Noise Effects and Management · Urban Heat Island Mitigation · Wind and Air Flow Studies · Geology
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Sat2shp
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Evaluation of solar energy potential for residential buildings in urban environments based on a parametric approach
Understanding the relationship between urban morphology and solar potential in mixed-use neighborhoods using machine learning algorithms
Cause-specific mortality attributable to cold and hot ambient temperatures in Hong Kong
| Citations per year | 4 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |