Open Access
| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 4 | |
| Section | Community Upgrading and Urban Development Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202451201012 | |
| Published online | 10 April 2024 | |
- Fu Q, Han Z, Chen J, et al. Applications of reinforcement learning for building energy efficiency control: A review. Journal of Building Engineering, 2022, 50: 104165. [CrossRef] [Google Scholar]
- Motalebi M, Rashidi A, Nasiri M M. Optimization and BIM-based lifecycle assessment integration for energy efficiency retrofit of buildings. Journal of Building Engineering, 2022, 49: 104022. [CrossRef] [Google Scholar]
- Olu-Ajayi R, Alaka H, Sulaimon I, et al. Machine learning for energy performance prediction at the design stage of buildings. Energy for Sustainable Development, 2022, 66: 12–25. [CrossRef] [Google Scholar]
- Yang H, Ran M Y. Analysis and Prediction of Building Energy Consumption Based on BPT-MLR Model. Journal of Huaqiao University:Natural Science, 2023, 44(02): 178–186. [Google Scholar]
- Ye Y X, Ma H Y, Li S Y. Building Energy Consumption Forecast Based on MLR-GA-WNN. Computer Simulation, 2023, 40(03): 514–519. [Google Scholar]
- Tavakolan M, Mostafazadeh F, Eirdmousa S J, et al. A parallel computing simulation-based multiobjective optimization framework for economic analysis of building energy retrofit: A case study in Iran. Journal of Building Engineering, 2022, 45: 103485. [CrossRef] [Google Scholar]
- Lu C, Li S, Lu Z. Building energy prediction using artificial neural networks: A literature survey[J]. Energy and Buildings, 2022, 262: 111718. [Google Scholar]
- Wenninger S, Kaymakci C, Wiethe C. Explainable long-term building energy consumption prediction using QLattice. Applied Energy, 2022, 308: 118300. [CrossRef] [Google Scholar]
- González-Torres M, Pérez-Lombard L, Coronel J F, et al. A review on buildings energy information: Trends, end-uses, fuels and drivers. Energy Reports, 2022, 8: 626–637. [CrossRef] [Google Scholar]
- Mohapatra S K, Mishra S, Tripathy H K, et al. A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment. Sustainable Energy Technologies and Assessments, 2022, 53: 102697. [CrossRef] [Google Scholar]
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