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Data-driven assessment of indoor climate in commercial buildings using AI-assisted control

author
Parts, Tuule Mall
Aljas, Hans Kristjan
Köse, Ahmet
Belikov, Juri
Petlenkov, Eduard
statement of authorship
Tuule Mall Parts, Hans Kristjan Aljas, Ahmet Köse, Juri Belikov, Eduard Petlenkov
source
Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025
Clima 2025 : 15th REHVA HVAC World Congress
location of publication
Cham
publisher
Springer Nature
year of publication
2026
pages
p. 825-831
series
Lecture Notes in Civil Engineering ; 763
conference name, date
15th REHVA HVAC World Congress (CLIMA) : Decarbonized, healthy, and energy-conscious buildings in future climates, June 4-6, 2025
conference location
Milan, Italy
url
https://doi.org/10.1007/978-3-032-06810-1_83
subject term
siseõhk
õhukvaliteet
automaatkontroll
energiatõhusus
keyword
thermal comfort
indoor air quality (IAQ)
advanced dynamic control
automated control
energy efficiency
ISSN
2366-2557
ISBN
978-3-032-06809-5
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
ehituse ja arhitektuuri instituut
arvutisüsteemide instituut
tarkvarateaduse instituut
language
inglise
Parts, T. M., Aljas, H. K., Köse, A., Belikov, J., Petlenkov, E. Data-driven assessment of indoor climate in commercial buildings using AI-assisted control // Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025, Clima 2025 : 15th REHVA HVAC World Congress. Cham : Springer Nature, 2026. p. 825-831. (Lecture Notes in Civil Engineering ; 763). https://doi.org/10.1007/978-3-032-06810-1_83