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Pregled bibliografske jedinice broj: 1228116

Identification of Window Openness in Smart Buildings by Random Forest Algorithm


Jelić, Luka; Kenda, Jurica; Banjac, Anita; Rukavina, Filip; Lešić, Vinko
Identification of Window Openness in Smart Buildings by Random Forest Algorithm // Proceedings of the 5th International Conference on Smart Systems and Technologies (SST 2022)
Osijek, Hrvatska, 2022. str. 105-110 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1228116 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Identification of Window Openness in Smart Buildings by Random Forest Algorithm

Autori
Jelić, Luka ; Kenda, Jurica ; Banjac, Anita ; Rukavina, Filip ; Lešić, Vinko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 5th International Conference on Smart Systems and Technologies (SST 2022) / - , 2022, 105-110

Skup
International Conference on Smart Systems and Technologies 2022 (SST 2022)

Mjesto i datum
Osijek, Hrvatska, 19.10.2022. - 21.10.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
machine learning, random forest, smart buildings, user behavior, window openness

Sažetak
Controlled energy distribution and energy efficiency in buildings are among the main concerns in modern constructions, energy management and buildings usability. Total energy performance of a building depends on several factors, which include materials and components, building environment, but also the occupants behavior. User interaction with windows and window status as open or closed is the main cause of the difference between the predicted and the actual energy consumption. Understanding these user habits helps to better predict energy disruptions and enables planning for more efficient energy distribution. This paper investigates the possibility of using a machine learning model to identify the user behavior through a set of available historical data in a living-lab smart building. The random forest algorithm used in this research proved promising for the particular use case and makes a good ground for future work with window status classification accuracy of 87.85%.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
HRZZ-UIP-2020-02-9636 - Distribuirano upravljanje za dinamičko gospodarenje energijom u složenim sustavima naprednih gradova (DECIDE) (Lešić, Vinko, HRZZ - 2020-02) ( CroRIS)

Profili:

Avatar Url Anita Banjac (autor)

Avatar Url Vinko Lešić (autor)

Avatar Url Filip Rukavina (autor)


Citiraj ovu publikaciju:

Jelić, Luka; Kenda, Jurica; Banjac, Anita; Rukavina, Filip; Lešić, Vinko
Identification of Window Openness in Smart Buildings by Random Forest Algorithm // Proceedings of the 5th International Conference on Smart Systems and Technologies (SST 2022)
Osijek, Hrvatska, 2022. str. 105-110 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jelić, L., Kenda, J., Banjac, A., Rukavina, F. & Lešić, V. (2022) Identification of Window Openness in Smart Buildings by Random Forest Algorithm. U: Proceedings of the 5th International Conference on Smart Systems and Technologies (SST 2022).
@article{article, author = {Jeli\'{c}, Luka and Kenda, Jurica and Banjac, Anita and Rukavina, Filip and Le\v{s}i\'{c}, Vinko}, year = {2022}, pages = {105-110}, keywords = {machine learning, random forest, smart buildings, user behavior, window openness}, title = {Identification of Window Openness in Smart Buildings by Random Forest Algorithm}, keyword = {machine learning, random forest, smart buildings, user behavior, window openness}, publisherplace = {Osijek, Hrvatska} }
@article{article, author = {Jeli\'{c}, Luka and Kenda, Jurica and Banjac, Anita and Rukavina, Filip and Le\v{s}i\'{c}, Vinko}, year = {2022}, pages = {105-110}, keywords = {machine learning, random forest, smart buildings, user behavior, window openness}, title = {Identification of Window Openness in Smart Buildings by Random Forest Algorithm}, keyword = {machine learning, random forest, smart buildings, user behavior, window openness}, publisherplace = {Osijek, Hrvatska} }




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