Open Access
| Issue |
EPJ Web Conf.
Volume 326, 2025
International Conference on Functional Materials and Renewable Energies: COFMER’05 5th Edition
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 4 | |
| Section | Renewable Energy Sources | |
| DOI | https://doi.org/10.1051/epjconf/202532602005 | |
| Published online | 21 May 2025 | |
- J. Smith, Smart building energy management systems: A review, Renew. Energy 2023, 116, 1–15. [Google Scholar]
- Y. Zhou, L. Wang, Artificial intelligence for smart building energy optimization, Appl. Energy 2022, 325, 119813. https://doi.org/10.1016/j.apenergy.2022.119813 [Google Scholar]
- T. Johnson, Energy management in smart buildings: Trends and challenges, Energy Rep. 2021, 7, 896–904. https://doi.org/10.1016/j.egyr.2021.01.058 [Google Scholar]
- H. Liu, Y. Zhang, Battery storage systems for smart buildings, J. Energy Storage 2022, 46, 103841. https://doi.org/10.1016/j.est.2022.103841 [CrossRef] [Google Scholar]
- S. Kim, J. Lee, Optimizing renewable energy integration in smart buildings, Renew. Sustain. Energy Rev. 2021, 144, 110999. https://doi.org/10.1016/j.rser.2021.110999 [CrossRef] [Google Scholar]
- R. Kumar, Energy storage integration in building energy management, Energy Build. 2023, 277, 112471. https://doi.org/10.1016/j.enbuild.2022.112471 [Google Scholar]
- M. Chang, Neural networks for predictive energy management, IEEE Trans. Smart Grid 2022, 13(4), 2871–2880. https://doi.org/10.1109/TSG.2022.3157693 [Google Scholar]
- V. Patel, Control strategies for renewable-based smart buildings, J. Build. Perform. 2021, 12(2), 156–167. [Google Scholar]
- Y. Wang, S. Chen, Sliding mode control for smart building energy systems, J. Control Eng. 2022, 30(5), 615–628. https://doi.org/10.1016/j.conengprac.2022.105306 [Google Scholar]
- S. Hassan, Deep learning approaches for energy optimization in smart buildings, Sustain. Comput. Inform. Syst. 2023, 39, 100852. https://doi.org/10.1016/j.suscom.2023.100852 [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.