Correlating cooling energy use with urban microclimate data for projecting future peak cooling energy demands
Residential neighbourhoods in Seoul
Bibliographic Data
| ID | 21234617 |
|---|---|
| Authors | Choo Yoon Yi (0000-0002-0516-6590, University of Sheffield), Chengzhi Peng (0000-0001-8199-0955, University of Sheffield, corresponding author) |
| Year | 2017 |
| Volume | 35 |
| Pages | 645-659 |
| Publication date | 2017-11-01 |
| 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.2017.09.016 |
| OpenAlex | W2756830343 |
| Language | EN |
| Citations received | 4 |
| References cited | 37 |
Bivariate analysis · Geography · Meteorology · Microclimate · Statistics · Building Energy and Comfort Optimization · Environmental Science · Mathematics · Noise Effects and Management · Urban Heat Island Mitigation
Urban micro-climate prediction through long short-term memory network with long-term monitoring for on-site building energy estimation
Generation and prediction of building coincident design day for improving energy efficiency of building air conditioning systems
Linking the urban-scale building energy demands with city breathability and urban form characteristics
Spatial assessment of cooling demand and district cooling potential utilizing public data
| Citations per year | 0.57 |
|---|---|
| Citation span | 2019 - 2025 (7) |
| Highly cited | No |