A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study
Auteur(s): |
Davide Coraci
Alberto Silvestri Giuseppe Razzano Davide Fop Silvio Brandi Esther Borkowski Tianzhen Hong Arno Schlueter Alfonso Capozzoli |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Energy and Buildings, février 2025, v. 329 |
DOI: | 10.1016/j.enbuild.2024.115254 |
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10810916 - Publié(e) le:
07.01.2025 - Modifié(e) le:
07.01.2025