Open Access
Issue
E3S Web Conf.
Volume 686, 2026
7th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2025)
Article Number 01014
Number of page(s) 5
Section Built Environment and Climate Resilience
DOI https://doi.org/10.1051/e3sconf/202668601014
Published online 19 January 2026
  1. P. Shen, Y. Li, X. Gao, Y. Zheng, P. Huang, A. Lu, W. Gu, S. Chen. Recent progress in building energy retrofit analysis under changing future climate: A review, Appl. Energy, 383, 125441 (2025) [Google Scholar]
  2. D. Koutsandreas, I. Keppo. Harnessing machine learning algorithms to unveil energy efficiency investment archetypes, Energy Rep., 12, 3180–95 (2024) [Google Scholar]
  3. Z. Pang, Z. O’Neill, Y. Li, F. Niu. The role of sensitivity analysis in the building performance analysis: A critical review, Energy Build., 209, 109659 (2020) [Google Scholar]
  4. W. Tian. Renew. Sustain. A review of sensitivity analysis methods in building energy analysis, Energy Rev., 20, 411–9 (2013) [Google Scholar]
  5. R. Roka, A. Figueiredo, A. Vieira, C. Cardoso. A Systematic Review of Sensitivity Analysis in Building Energy Modeling: Key Factors Influencing Building Thermal Energy Performance, Energies, 18, 2375 (2025) [Google Scholar]
  6. B. Wang, J. Li. J. Global sensitivity analysis based on multi-objective optimization of rural tourism building performance, Cleaner Prod., 417, 137917 (2023) [Google Scholar]
  7. F. Pianosi, K. Beven, J. Freer, J. W. Hall, J. Rougier, D. B. Stephenson, T. Wagener. Sensitivity analysis of environmental models: A systematic review with practical workflow, Environ. Model. Softw., 79, 214–32 (2016) [Google Scholar]
  8. L. Li, S. Zu, S. Miraba, S. A. H. H. Dehkordi, A. K. Mehr, M. Baghoolizadeh, Sh. Baghaie, R. Marzouki. Multi-objective optimization of building performance: Integrating sensitivity analysis for energy efficiency and comfort, Int. Commun. Heat Mass Transfer, 165, 109009 (2025) [Google Scholar]
  9. Z. Li, Y. Gao, Y. Wu, Q. Geng. Economic Evaluation and Sustainable Optimisation of Envelope Parameters of Building Energy-Efficiency Design Standards in Cold Regions: A Case Study of Shijiazhuang, China, Sustainability, 17, 9065 (2025) [Google Scholar]
  10. Y. Gao, S. Luo, J. Jiang, Y. Rong. Environmental- thermal-economic performance trade-off for rural residence retrofitting in the Beijing–Tianjin–Hebei region, Northern China: A multi-objective optimisation framework under different scenarios, Energy Build., 286, 112910 (2023) [Google Scholar]
  11. T. Han, P. Liu, C. Niu, Q. Li. Evaluation of energy- saving retrofit projects of existing rural residential envelope structures from the perspective of rural residents: the Chinese case, Environ. Dev. Sustain., 25, 8419–46 (2023) [Google Scholar]
  12. M. Shan, P. Wang, J. Li, G. Yue, X. Yang. Energy and environment in Chinese rural buildings: Situations, challenges, and intervention strategies, Build. Environ., 91, 271–82 (2015) [Google Scholar]
  13. R. Srikanthan, Q. J. Wang, Y. Zhang. Use of regional sensitivity analysis for diagnosing parsimony of models: A water model case study, Environ. Model. Softw., 195, 106727 (2026) [Google Scholar]
  14. A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, S. Tarantola. Global sensitivity analysis: the primer (John Wiley & Sons, 2008) [Google Scholar]
  15. Y. Fujii, K. Matsuoka, R. Koide, N. Shinojima, S. Murakami. Regional sensitivity analysis to assess critical parameters in circular economy interventions: An application to the dynamic MFA model, J. Ind. Ecol., 29, 429–39 (2025) [Google Scholar]
  16. A. Karatzetzou. Uncertainty and Latin Hypercube Sampling in Geotechnical Earthquake Engineering, Geotechnics, 4, 1007–25 (2024) [Google Scholar]
  17. T. Szul, K. Nęcka, T. G. Mathia. Neural Methods Comparison for Prediction of Heating Energy Based on Few Hundreds Enhanced Buildings in Four Season’s Climate, Energies, 13, 5453 (2020) [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.