Open Access
| Issue |
E3S Web Conf.
Volume 654, 2025
Energy and Sustainability Conference (ESC2025)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 8 | |
| Section | Building Energy Efficiency & Retrofitting | |
| DOI | https://doi.org/10.1051/e3sconf/202565401006 | |
| Published online | 21 October 2025 | |
- European Commission – Buildings and Construction. https://single-market-economy.ec.europa.eu/industry/sustainability/buildings-and-construction_en [Google Scholar]
- Energy Performance of Buildings Directive. 2024. https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-buildings/energy-performance-buildings-directive_en [Google Scholar]
- European Green Deal and Renovation Wave. https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX%3A52021IP0503 [Google Scholar]
- A. Gevorgian, S. Pezzutto, S. Zambotti, S. Croce, U. F. Oberegger, R. Lollini, L. Kranzl, A. Müller, European Building Stock Analysis. A country by country descriptive and comparative analysis of the energy performance of buildings. 2021. https://webassets.eurac.edu/31538/1643788710-ebsa_web_2.pdf [Google Scholar]
- J. Bielskus, V. Motuzienė, T. Vilutienė, A. Indriulionis, Occupancy Prediction Using Differential Evolution Online Sequential Extreme Learning Machine Model. Energies. 13, 4033 (2020). https://doi.org/10.3390/en13154033 [Google Scholar]
- Y. Pan, L. Zhang, Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions. Archives of Computational Methods Engineering. 30, p. 1081-1110 (2023). https://doi.org/10.1007/s11831-022-09830-8 [Google Scholar]
- R. Sacks, M. Girolami, I. Brilakis, Building Information Modelling, Artificial Intelligence and Construction Tech. Developments in the Built Environment. 4, 100011 (2020). https://doi.org/10.1016/j.dibe.2020.100011 [Google Scholar]
- F. Re Cecconi, A. Khodabakhshian, Leveraging AI for Construction Project Performance Predictions. In: Bragadin, M. A., Kähkönen, K., Witt, E. (eds) New Frontiers of Construction Management. CMW 2024. Digital Innovations in Architecture, Engineering and Construction. (Springer, Cham. 2025). https://doi.org/10.1007/978-3-031-87224-2_7 [Google Scholar]
- European Commission. Heating and Cooling Strategy. https://build-up.ec.europa.eu/en/themes/heating-and-cooling-including-district-level [Google Scholar]
- A. Billerbeck, Ch. Bernath, P. Manz, G. Deac, A. Held, J. Winkler, A. Kök, M. Ragwitz, Integrating district heating potentials into European energy system modelling: An assessment of cost advantages of renewable and excess heat. Smart Energy. 15, 100150 (2024). https://doi.org/10.1016/j.segy.2024.100150 [Google Scholar]
- A.K.S. Al-Sayyab, J. Navarro-Esbrí, A. Barragán-Cervera et al., Techno-economic analysis of a PV/T waste heat–driven compound ejector-heat pump for simultaneous data centre cooling and district heating using low global warming potential refrigerants. Mitigation and Adaptation Strategies for Global Change. 27, 43 (2023). https://doi.org/10.1007/s11027-022-10017-6 [Google Scholar]
- European Commission. Assessment of Lithuania’s Updated National Energy and Climate Plan (NECP). 2023. https://commission.europa.eu/system/files/2023-12/SWD_Assessment_draft_updated_NECP_Lithuania_2023.pdf [Google Scholar]
- T. Janeliūnas, Energy Transformation in Lithuania: Aiming for the Grand Changes. In: Mišík, M., Oravcová, V. (eds) From Economic to Energy Transition. Energy, Climate and the Environment. 2021. DOI: 10.1007/978-3-030-55085-1_10 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.