UBEM's archetypes improvement via data-driven occupant-related schedules randomly distributed and their impact assessment
Auteur(s): |
Martina Ferrando
Sibilla Ferroni Martina Pelle Anita Tatti Silvia Erba Xing Shi Francesco Causone |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Sustainable Cities and Society, décembre 2022, v. 87 |
Page(s): | 104164 |
DOI: | 10.1016/j.scs.2022.104164 |
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sur cette fiche - Reference-ID
10693460 - Publié(e) le:
22.09.2022 - Modifié(e) le:
22.09.2022