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Title:Developing an alternative calculation method for the smart readiness indicator based on genetic programming and linear regression
Authors:ID Beras, Mitja (Author)
ID Brezočnik, Miran (Author)
ID Župerl, Uroš (Author)
ID Kovačič, Miha (Author)
Files:.pdf buildings-15-01675-v2.pdf (4,93 MB)
MD5: 8BEE9C198870D61FA7E2FADC83B451B8
 
URL https://www.mdpi.com/2075-5309/15/10/1675
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract: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.
Keywords:SRI, modelling, genetic programming, linear regression, energy efficient buildings, smart buildings, optimisation
Publication status:Published
Publication version:Version of Record
Submitted for review:09.04.2025
Article acceptance date:09.05.2025
Publication date:15.05.2025
Publisher:MDPI
Year of publishing:2025
Number of pages:str. 1-36
Numbering:Vol. 15, iss. 10, [article no.] 1675
PID:20.500.12556/DKUM-95862 New window
UDC:62
ISSN on article:2075-5309
COBISS.SI-ID:247618563 New window
DOI:10.3390/buildings15101675 New window
Publication date in DKUM:03.11.2025
Views:151
Downloads:9
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Buildings
Shortened title:Buildings
Publisher:Molecular Diversity Preservation International
ISSN:2075-5309
COBISS.SI-ID:1024478292 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:SRI, modeliranje, genetsko programiranje, linearna regresija, energetsko učinkovite stavbe, pametne stavbe, optimizacija


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