ICUC12-158, updated on 21 May 2025
https://doi.org/10.5194/icuc12-158
12th International Conference on Urban Climate
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Impact of Future Climate Change on Energy Performance of Buildings in Cold Regions Based on Interpretable Machine Learning: A Case Study of Harbin Houses
Qi Dong1,2, Dayang Wang1,2, Chong Guo1,2, and Mingbo Zou1,2
Qi Dong et al.
  • 1Harbin Institute of Technology, School of Architecture and Design, China (dongqi@hit.edu.cn)
  • 2Key Laboratory of Cold Region Urban and Rural Human Settlement Science and Technology, Ministry of Industry and Environment Information Technology

How to cite: Dong, Q., Wang, D., Guo, C., and Zou, M.: Impact of Future Climate Change on Energy Performance of Buildings in Cold Regions Based on Interpretable Machine Learning: A Case Study of Harbin Houses, 12th International Conference on Urban Climate, Rotterdam, The Netherlands, 7–11 Jul 2025, ICUC12-158, https://doi.org/10.5194/icuc12-158, 2025.

This abstract has been withdrawn on 19 Jun 2025.

Supporters & sponsors