Coupling Effect of Building Design Variables on Building Energy Performance
Authors
*Corresponding author.
Email: 2098449125@qq.com
Corresponding Author
Shaojun Shi
Available Online 26 July 2024.
- DOI
- 10.2991/978-94-6463-453-2_2How to use a DOI?
- Keywords
- China; model; energy consumption
- Abstract
This study provides in-depth analysis of design variables and their interactions in typical office buildings in hot summer and cold winter areas in China, revealing the complex effects of these factors on energy consumption. A combination of tree Gaussian process and linear regression are used to establish a more comprehensive and accurate energy consumption model, which is more practical than the traditional linear regression model.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shaojun Shi PY - 2024 DA - 2024/07/26 TI - Coupling Effect of Building Design Variables on Building Energy Performance BT - Proceedings of the 2024 International Conference on Urban Planning and Design (UPD 2024) PB - Atlantis Press SP - 4 EP - 12 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-453-2_2 DO - 10.2991/978-94-6463-453-2_2 ID - Shi2024 ER -