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Data-driven modeling of single-sided bottom-hung window ventilation
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In
Building and environment 290, Seiten/Artikel-Nr.:114144
2026 & 2025
Received 10 October 2025, Revised 26 November 2025, Accepted 15 December 2025, Available online 16 December 2025
Online
DOI: 10.1016/j.buildenv.2025.114144
DOI: 10.18154/RWTH-2026-00653
URL: https://publications.rwth-aachen.de/record/1025289/files/1025289.pdf
Einrichtungen
Projekte
Thematische Einordnung (Klassifikation)
DDC: 690
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105025118034
WOS Core Collection: WOS:001649433600001
Interne Identnummern
RWTH-2026-00653
Datensatz-ID: 1025289
Beteiligte Länder
Germany
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz
; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Hybrid-OA | 2575.00 | 180.25 | EUR | 96.26 % | (DEAL) | 021000-419510 |
| Other | 100.00 | 7.00 | EUR | 3.74 % | (DEAL) | 021000-419510 |
| Sum | 2675.00 | 187.25 | EUR | |||
| Total | 2862.25 |
PDF