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Naslov:Developing an alternative calculation method for the smart readiness indicator based on genetic programming and linear regression
Avtorji:ID Beras, Mitja (Avtor)
ID Brezočnik, Miran (Avtor)
ID Župerl, Uroš (Avtor)
ID Kovačič, Miha (Avtor)
Datoteke:.pdf buildings-15-01675-v2.pdf (4,93 MB)
MD5: 8BEE9C198870D61FA7E2FADC83B451B8
 
URL https://www.mdpi.com/2075-5309/15/10/1675
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:The European Union is planning to introduce a new tool for evaluating smart solutions in buildings—the Smart Readiness Indicator (SRI). As 54 energy efficiency categories must be evaluated, the triage process can be long and time-intensive. Altogether, 228 data points (or inputs) about the smartness of the buildings are required to complete the evaluation. The present paper proposes an alternative calculation method based on genetic programming (GP) for the calculation of Domains and linear regression (LR) for the calculation of Impact Factors and the total SRI score of the building. This novel calculation requires 20% (Domain ventilation and dynamic building envelope) to 75% (Domain cooling) fewer inputs than the original methodology. The present study evaluated 223 case study buildings, and 7 genetic programming models and 8 linear regression models were generated based on the results. The generated results are precise; the relative deviation from the experimental data for Domain scores (modelled with GP) ranged from 0.9% to 2.9%. The R2 for the LR models was 0.75 for most models (with two exceptions, with one with a value of 0.57 and the other with a value of 0.98). The developed method is scalable and could be used for preliminary and portfolio-level screening at early-stage assessments.
Ključne besede:SRI, modelling, genetic programming, linear regression, energy efficient buildings, smart buildings, optimisation
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:09.04.2025
Datum sprejetja članka:09.05.2025
Datum objave:15.05.2025
Založnik:MDPI
Leto izida:2025
Št. strani:str. 1-36
Številčenje:Vol. 15, iss. 10, [article no.] 1675
PID:20.500.12556/DKUM-95862 Novo okno
UDK:62
COBISS.SI-ID:247618563 Novo okno
DOI:10.3390/buildings15101675 Novo okno
ISSN pri članku:2075-5309
Datum objave v DKUM:03.11.2025
Število ogledov:152
Število prenosov:9
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Buildings
Skrajšan naslov:Buildings
Založnik:Molecular Diversity Preservation International
ISSN:2075-5309
COBISS.SI-ID:1024478292 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:SRI, modeliranje, genetsko programiranje, linearna regresija, energetsko učinkovite stavbe, pametne stavbe, optimizacija


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