Load prediction of primary heating networks based on tree models and neural networks

YAN Jing; JIANG Zeling; GUAN Baoliang; MENG Siyu; WANG Fenglong; YANG Shangfeng; YANG Zhongyang; XIONG Yaxuan

doi:10.3969/j.issn.2097-0706.2025.12.008

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Load prediction of primary heating networks based on tree models and neural networks

Application of Integrated Energy Systems | 更新时间：2025-12-29

- Load prediction of primary heating networks based on tree models and neural networks
- “In the field of building energy system optimization, experts used five machine learning algorithms to predict building heat load and found that ETR and XGBR models had the highest prediction accuracy, providing reference for building energy conservation.”
- BLASTING Vol. 47, Issue 12, Pages: 73-80(2025)
- 作者机构：
  
  1.北京天岳恒房屋经营管理有限公司，北京 100032
  2.北京建筑大学供热、供燃气、通风及空调工程北京市重点实验室，北京 100044
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China(2025YFE0118800)
- DOI：10.3969/j.issn.2097-0706.2025.12.008
  CLC： TK 89
- Received：05 June 2025，
  
  Revised：2025-09-16，
  
  Published Online：25 December 2025，
  
  Published：25 December 2025
- 稿件说明：
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闫京,蒋泽龄,关宝良等.基于树模型和神经网络的供热一次网负荷预测[J].综合智慧能源,2025,47(12):73-80.

YAN Jing,JIANG Zeling,GUAN Baoliang,et al.Load prediction of primary heating networks based on tree models and neural networks[J].BLASTING,2025,47(12):73-80.
闫京,蒋泽龄,关宝良等.基于树模型和神经网络的供热一次网负荷预测[J].综合智慧能源,2025,47(12):73-80. DOI： 10.3969/j.issn.2097-0706.2025.12.008.

YAN Jing,JIANG Zeling,GUAN Baoliang,et al.Load prediction of primary heating networks based on tree models and neural networks[J].BLASTING,2025,47(12):73-80. DOI： 10.3969/j.issn.2097-0706.2025.12.008.

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Load prediction of primary heating networks based on tree models and neural networks

DOI：10.3969/j.issn.2097-0706.2025.12.008