Microclimate spatio-temporal prediction using deep learning and land use data
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2024/04/01
-
Journal
-
Indian UGC (journal)
-
Refrences81
-
Jintong Han ORCID (unauthenticated)
-
Adrian Chong ORCID (unauthenticated)
-
Joie Lim ORCID (unauthenticated)
-
Savitha Ramasamy ORCID (unauthenticated)
-
Nyuk Hien Wong ORCID (unauthenticated)
-
Filip Biljecki ORCID (unauthenticated)
Cite
Han, Jintong, et al. “Microclimate Spatio-Temporal Prediction Using Deep Learning and Land Use Data”. Building and Environment, vol. 253, 2024, p. 111358, https://doi.org/10.1016/j.buildenv.2024.111358.
Han, J., Chong, A., Lim, J., Ramasamy, S., Wong, N. H., & Biljecki, F. (2024). Microclimate spatio-temporal prediction using deep learning and land use data. Building and Environment, 253, 111358. https://doi.org/10.1016/j.buildenv.2024.111358
Han, Jintong, Adrian Chong, Joie Lim, Savitha Ramasamy, Nyuk Hien Wong, and Filip Biljecki. “Microclimate Spatio-Temporal Prediction Using Deep Learning and Land Use Data”. Building and Environment 253 (2024): 111358. https://doi.org/10.1016/j.buildenv.2024.111358.
Han J, Chong A, Lim J, Ramasamy S, Wong NH, Biljecki F. Microclimate spatio-temporal prediction using deep learning and land use data. Building and Environment. 2024;253:111358.
Journal Categories
Technology
Building construction
Architectural engineering
Structural engineering of buildings
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Environmental engineering
You May Also Like
- CO<sub>2</sub>-Based Occupancy Detection for On-Line Outdoor Air Flow Control
- Measurement of Equilibrium Factor ”F” between Radon and its Progeny and Thoron and its Progeny in the Indoor Atmosphere Using Nuclear Track Detectors
- Manual Control of Window Blinds and Electric Lighting: Implications for Comfort and Energy Consumption
- Structural Developments in Tall Buildings: Current Trends and Future Prospects
- Buildings don't use energy: people do
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A geographic information systems and remote sensing–based approach to assess urban micro-climate change and its impact on human health in Bartin, Turkey | Environmental Monitoring and Assessment |
| 15 | 2023 |
A Comprehensive Review on Land Use/Land Cover (LULC) Change Modeling for Urban Development: Current Status and Future Prospects | Sustainability |
| 21 | 2023 |
Spatial Interpolation of Soil Temperature and Water Content in the Land-Water Interface Using Artificial Intelligence | Water |
| 6 | 2023 |
A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap | Nature Communications |
| 23 | 2023 |
Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment | Sensors |
| 7 | 2022 |
Refrences Analysis
The category
Technology: Engineering (General). Civil engineering (General) 47
is the most frequently represented among the references in this article. It primarily includes studies from Building and Environment and Urban Climate. The chart below illustrates the number of referenced publications per year.