A data-driven approach based on quantile regression forest to forecast cooling load for commercial buildings
Auteur(s): |
Mashud Rana
Subbu Sethuvenkatraman Mark Goldsworthy |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Sustainable Cities and Society, janvier 2022, v. 76 |
Page(s): | 103511 |
DOI: | 10.1016/j.scs.2021.103511 |
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10640815 - Publié(e) le:
30.11.2021 - Modifié(e) le:
30.11.2021