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Data-Driven Cold Draft Prevention in Commercial Buildings: Wind-Based Overpressure Optimization for Ventilation System Efficiency

author
Sukhanov, Ivan
Köse, Ahmet
Belikov, Juri
Tepljakov, Aleksei
Petlenkov, Eduard
statement of authorship
Ivan Sukhanov, Ahmet Köse, Juri Belikov, Aleksei Tepljakov & Eduard Petlenkov
source
Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025(CLIMA 2025). Vol. 3
location of publication
Cham
publisher
Springer
year of publication
2026
pages
p. 1474–1483
series
Lecture Notes in Civil Engineering ((LNCE) ; vol. 788
conference name, date
15th REHVA HVAC World Congress - CLIMA 2025 (CLIMA 2025), June 4-6, 2025
conference location
Milan, Italy
url
https://doi.org/10.1007/978-3-032-10546-2_141
subject term
energiatõhusus
tehisintellekt
juhtimissüsteemid
ventilatsioonisüsteemid
keyword
HVAC
Overpressure Management
Energy Efficiency
AI
Dynamic Control Systems
ISBN
978-3-032-10545-5
978-3-032-10546-2
notes
Bibliogr.: 14 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
arvutisüsteemide instituut
language
inglise
Sukhanov, I., Köse, A., Belikov, J., Tepljakov, A., Petlenkov, E. Data-Driven Cold Draft Prevention in Commercial Buildings: Wind-Based Overpressure Optimization for Ventilation System Efficiency // Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025(CLIMA 2025). Vol. 3. Cham : Springer, 2026. p. 1474–1483. (Lecture Notes in Civil Engineering ((LNCE) ; vol. 788). https://doi.org/10.1007/978-3-032-10546-2_141