Name
Abstract | ||
|---|---|---|
In many countries such as Austria the heating energy demand (HED) is an essential parameter of the energy certification of houses. In this paper, we present an approach in which the HED category for a single family house is—for the first time—determined from a standard photograph directly by means of computer vision and machine learning. |
Year | Venue | Keywords |
|---|---|---|
2018 | Computer Science - R&D | Heating energy demand, Single family house, Computer vision, Convolutional neural networks |
Field | DocType | Volume |
Computer vision,Convolutional neural network,Computer science,Energy demand,Artificial intelligence,Single-family detached home,Certification | Journal | 33 |
Issue | Citations | PageRank |
1-2 | 1 | 0.36 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miroslav Despotovic | 1 | 5 | 1.18 |
| Muntaha Sakeena | 2 | 5 | 1.18 |
| David Koch | 3 | 5 | 1.85 |
| Mario Döller | 4 | 130 | 18.38 |
| Matthias Zeppelzauer | 5 | 186 | 21.35 |