UAV-based automated 3D modeling framework using deep learning for building energy modeling
Bibliographic Data
| ID | 21233294 |
|---|---|
| Authors | Jonghyeon Yoon (Hanyang University), Yeeun Kim (0000-0002-9192-0990, Hanyang University), Sanghyo Lee (0000-0001-7274-6619, Hanyang University, corresponding author), Minjae Shin (0009-0002-9195-5867, Hanyang University, corresponding author) |
| Year | 2024 |
| Volume | 101 |
| Pages | 105169 |
| Publication date | 2024-02-01 |
| Peer Reviewed | Yes |
| 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.2023.105169 |
| OpenAlex | W4390399207 |
| Language | EN |
| Citations received | 3 |
| References cited | 35 |
Building energy simulation · Building Information Modeling · Building model · Cartography · Convolutional neural network · Data mining · Efficient energy use · Energy demand · Energy modeling · Energy performance · Geographic information system · Geography · Industrial engineering · Simulation · 3D Surveying and Cultural Heritage · Building Energy and Comfort Optimization · Computer Science · Engineering · Wind and Air Flow Studies · Artificial Intelligence
Ten questions on urban building energy modeling
A review of bottom-up building stock models for energy consumption in the residential sector
An improved LOD specification for 3D building models
Urban building energy modeling – A review of a nascent field
Modeling of end-use energy consumption in the residential sector
D Building Façade Reconstruction Using Deep Learning
A 3D modeling method for buildings based on LiDAR point cloud and DLG
Urban building energy modeling (Ubem) tools
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |