Knowledge Discovery-Driven Intelligent Decision-Making System to Establish Public Building Envelope Prioritizing Strategies: Case Study on Romanian Building Stock.
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| Title: | Knowledge Discovery-Driven Intelligent Decision-Making System to Establish Public Building Envelope Prioritizing Strategies: Case Study on Romanian Building Stock. |
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| Authors: | Grigoras, Gheorghe1 (AUTHOR), Ciobanu, Romeo-Cristian1,2 (AUTHOR) bogdan-constantin.neagu@academic.tuiasi.ro, Neagu, Bogdan-Constantin1 (AUTHOR), Aradoaei, Mihaela1,2 (AUTHOR), Livadariu, Razvan-Petru1 (AUTHOR), Caramitu, Alina Ruxandra2 (AUTHOR) alina.caramitu@icpe-ca.ro |
| Source: | Energies (19961073). Jun2026, Vol. 19 Issue 12, p2906. 40p. |
| Subject Terms: | *Building envelopes, *Decision making, *Energy consumption, *Energy consumption of buildings, *Data mining |
| Abstract: | The energy performance of a building reflects its typical energy use and is influenced by factors such as the building envelope (insulation and windows), system efficiency (particularly for heating, cooling, and domestic hot water), and the integration of renewable energy sources. Improving energy performance helps save energy, boost energy independence and security, lower energy costs, and reduce the need for grid investments. Standardizing energy performance assessments enables benchmarking and comparison of building efficiency, encouraging informed decision-making. In this context, the paper presents a knowledge discovery-driven intelligent decision-making system, designed, developed, and tested to identify the best strategies for prioritizing buildings in the envelope process. The system combines data mining techniques with statistical analysis to precisely rank and thoroughly evaluate low-energy-performance buildings and to develop scenario-based strategies for enveloping the buildings to achieve high energy efficiency (associated with nearly zero-energy buildings) under real-world conditions. Testing of the proposed intelligent decision-making system was conducted using a real building database of approximately 3900 records, uploaded from the Romanian central administration website. Under the highest-performance scenario of the envelope-priority strategy, which includes nearly zero-energy building standards, energy savings exceeded 50% across all categories: 51.70% for healthcare, 53.40% for residential, 60.11% for administrative and office buildings, and 69.92% for educational institutions. Overall, the average savings across all building types were 59.81% (644.86 GWh/year). [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194909355 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Knowledge Discovery-Driven Intelligent Decision-Making System to Establish Public Building Envelope Prioritizing Strategies: Case Study on Romanian Building Stock. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Grigoras%2C+Gheorghe%22">Grigoras, Gheorghe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ciobanu%2C+Romeo-Cristian%22">Ciobanu, Romeo-Cristian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> bogdan-constantin.neagu@academic.tuiasi.ro</i><br /><searchLink fieldCode="AR" term="%22Neagu%2C+Bogdan-Constantin%22">Neagu, Bogdan-Constantin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aradoaei%2C+Mihaela%22">Aradoaei, Mihaela</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Livadariu%2C+Razvan-Petru%22">Livadariu, Razvan-Petru</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Caramitu%2C+Alina+Ruxandra%22">Caramitu, Alina Ruxandra</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> alina.caramitu@icpe-ca.ro</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2906. 40p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Building+envelopes%22">Building envelopes</searchLink><br />*<searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption+of+buildings%22">Energy consumption of buildings</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The energy performance of a building reflects its typical energy use and is influenced by factors such as the building envelope (insulation and windows), system efficiency (particularly for heating, cooling, and domestic hot water), and the integration of renewable energy sources. Improving energy performance helps save energy, boost energy independence and security, lower energy costs, and reduce the need for grid investments. Standardizing energy performance assessments enables benchmarking and comparison of building efficiency, encouraging informed decision-making. In this context, the paper presents a knowledge discovery-driven intelligent decision-making system, designed, developed, and tested to identify the best strategies for prioritizing buildings in the envelope process. The system combines data mining techniques with statistical analysis to precisely rank and thoroughly evaluate low-energy-performance buildings and to develop scenario-based strategies for enveloping the buildings to achieve high energy efficiency (associated with nearly zero-energy buildings) under real-world conditions. Testing of the proposed intelligent decision-making system was conducted using a real building database of approximately 3900 records, uploaded from the Romanian central administration website. Under the highest-performance scenario of the envelope-priority strategy, which includes nearly zero-energy building standards, energy savings exceeded 50% across all categories: 51.70% for healthcare, 53.40% for residential, 60.11% for administrative and office buildings, and 69.92% for educational institutions. Overall, the average savings across all building types were 59.81% (644.86 GWh/year). [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19122906 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 40 StartPage: 2906 Subjects: – SubjectFull: Building envelopes Type: general – SubjectFull: Decision making Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Energy consumption of buildings Type: general – SubjectFull: Data mining Type: general Titles: – TitleFull: Knowledge Discovery-Driven Intelligent Decision-Making System to Establish Public Building Envelope Prioritizing Strategies: Case Study on Romanian Building Stock. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Grigoras, Gheorghe – PersonEntity: Name: NameFull: Ciobanu, Romeo-Cristian – PersonEntity: Name: NameFull: Neagu, Bogdan-Constantin – PersonEntity: Name: NameFull: Aradoaei, Mihaela – PersonEntity: Name: NameFull: Livadariu, Razvan-Petru – PersonEntity: Name: NameFull: Caramitu, Alina Ruxandra IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 12 Titles: – TitleFull: Energies (19961073) Type: main |
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