Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
| Auteur(s): |
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) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Science and Technology for the Built Environment, avril 2022, n. 5, v. 28 |
| Page(s): | 1-18 |
| DOI: | 10.1080/23744731.2022.2067466 |
- Informations
sur cette fiche - Reference-ID
10665156 - Publié(e) le:
09.05.2022 - Modifié(e) le:
16.06.2022
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