Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
| Autor(en): |
Clayton Miller
(Department of the Built Environment, College of Design and Engineering, National University of Singapore (NUS), Singapore, Singapore)
Bianca Picchetti (Department of the Built Environment, College of Design and Engineering, National University of Singapore (NUS), Singapore, Singapore) Chun Fu
(Department of the Built Environment, College of Design and Engineering, National University of Singapore (NUS), Singapore, Singapore)
Jovan Pantelic (Department of Biosystems, KU Leuven, Leuven, Belgium) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Science and Technology for the Built Environment, April 2022, n. 5, v. 28 |
| Seite(n): | 1-18 |
| DOI: | 10.1080/23744731.2022.2067466 |
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Datenseite - Reference-ID
10665156 - Veröffentlicht am:
09.05.2022 - Geändert am:
16.06.2022
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