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Prethodno priopćenje
https://doi.org/10.17559/TV-20190822153751

Prediction of Energy Consumption in Buildings Using Support Vector Machine

Todorka Samardzioska* ; Ss. Cyril and Methodius University in Skopje, Faculty of Civil Engineering, 24, Partizanski Odrediblvd, Skopje, Macedonia
Valentina Zileska Pancovska ; Ss. Cyril and Methodius University in Skopje, Faculty of Civil Engineering, 24, Partizanski Odrediblvd, Skopje, Macedonia
Silvana Petrusheva ; Ss. Cyril and Methodius University in Skopje, Faculty of Civil Engineering, 24, Partizanski Odrediblvd, Skopje, Macedonia
Blagica Sekovska ; Ss. Cyril and Methodius University in Skopje, Faculty of Veterinary Medicine, St. "Lazar Pop-Trajkov" 5-7, Skopje, Macedonia

Puni tekst: engleski, pdf (670 KB) str. 649-656 preuzimanja: 36* citiraj
APA 6th Edition
Samardzioska*, T., Zileska Pancovska, V., Petrusheva, S. i Sekovska, B. (2021). Prediction of Energy Consumption in Buildings Using Support Vector Machine. Tehnički vjesnik, 28 (2), 649-656. https://doi.org/10.17559/TV-20190822153751
MLA 8th Edition
Samardzioska*, Todorka, et al. "Prediction of Energy Consumption in Buildings Using Support Vector Machine." Tehnički vjesnik, vol. 28, br. 2, 2021, str. 649-656. https://doi.org/10.17559/TV-20190822153751. Citirano 12.05.2021.
Chicago 17th Edition
Samardzioska*, Todorka, Valentina Zileska Pancovska, Silvana Petrusheva i Blagica Sekovska. "Prediction of Energy Consumption in Buildings Using Support Vector Machine." Tehnički vjesnik 28, br. 2 (2021): 649-656. https://doi.org/10.17559/TV-20190822153751
Harvard
Samardzioska*, T., et al. (2021). 'Prediction of Energy Consumption in Buildings Using Support Vector Machine', Tehnički vjesnik, 28(2), str. 649-656. https://doi.org/10.17559/TV-20190822153751
Vancouver
Samardzioska* T, Zileska Pancovska V, Petrusheva S, Sekovska B. Prediction of Energy Consumption in Buildings Using Support Vector Machine. Tehnički vjesnik [Internet]. 2021 [pristupljeno 12.05.2021.];28(2):649-656. https://doi.org/10.17559/TV-20190822153751
IEEE
T. Samardzioska*, V. Zileska Pancovska, S. Petrusheva i B. Sekovska, "Prediction of Energy Consumption in Buildings Using Support Vector Machine", Tehnički vjesnik, vol.28, br. 2, str. 649-656, 2021. [Online]. https://doi.org/10.17559/TV-20190822153751

Sažetak
The energy consumption of buildings can directly affect the buildings users' budget and their satisfaction with the investment in the property. Vice versa, buildings energy consumption has a social implication on the buildings' users. Additionally, building energy consumption is connected with the buildings influence on the environment due to the CO2 emission. Thus, having a model for energy usage prediction is of crucial importance. Data for sixty real-built buildings were collected. Using support vector machine, a model was developed for prediction of energy consumption. The mean absolute percentage error of the model is 2,44% and the coefficient of determination of the model R2 is 94,72%, which expresses the global fit of the model. The model is useful for all participants in the designs of buildings, particularly in the early phases. It can serve as a decision support model during the process of selection of optimal building design.

Ključne riječi
buildings; energy consumption; energy efficiency, prediction; support vector machine

Hrčak ID: 255882

URI
https://hrcak.srce.hr/255882

Posjeta: 63 *