2023
DOI: 10.3390/su15032032
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Impact of the EPBD on Changes in the Energy Performance of Multi-Apartment Buildings in Lithuania

Abstract: As per general provisions of European Directive 2010/31/EU on the energy efficiency of buildings (recast), the Lithuanian government transposed the Directive into Lithuanian national law. In the process, the Lithuanian government prepared strategic documents in the field of energy performance and renewable energy that were integrated together through the National Energy and Climate Plan for 2021–2030 (NECP). To better understand the current situation vis-à-vis energy performance, the main characteristics of bu… Show more

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Cited by 5 publications
(2 citation statements)
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“…The integration of machine learning techniques holds the potential to optimize performance, boost efficiency, and refine decision-making processes in renewable energy systems [97]. Machine learning, a subset of AI, centers on crafting algorithms and models that empower computers to learn from data and enhance their performance iteratively.…”
Section: Renewables With Smart Managementmentioning
confidence: 99%
“…The integration of machine learning techniques holds the potential to optimize performance, boost efficiency, and refine decision-making processes in renewable energy systems [97]. Machine learning, a subset of AI, centers on crafting algorithms and models that empower computers to learn from data and enhance their performance iteratively.…”
Section: Renewables With Smart Managementmentioning
confidence: 99%
“…As a result, a large part of the building stock is in poor technical condition (especially in the apartment segment). A total of 58% of the area of the building fund consists of buildings built between 1961 and 1992, the architectural and structural diversity of which is probably not great [28][29][30][31]. Accordingly, there is a potential for implementing repeated (standard) renovation solutions, especially in the apartment building segment, where ~72% buildings were built between 1961 and 1992.…”
Section: Case Study Of Lithuaniamentioning
confidence: 99%