Dongxia Wu

Tianjin University of Commerce

P.O. box 9007

Tianjin 300072

United States

  • Tianjin University of Commerce

SCHOLARLY PAPERS

3

DOWNLOADS

49

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Experimental Study on the Dynamic Integration of Pcm in Building Walls for Enhancing Thermal Performance in Summer Condition

Number of pages: 24 Posted: 09 Jul 2024
Wendong LI, Mourad Rahim, Dongxia Wu, Mohammed El Ganaoui and Rachid Bennacer
University of Lorraine, University of Lorraine, Tianjin University of Commerce, Indian Institute of Technology (IIT), Gandhinagar and Université Paris-Saclay Université Paris-Saclay, ENS Paris-Saclay, CNRS, LMPS,
Downloads 24 (1,104,122)
Citation 1

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Phase change material, building envelope, dynamic integration, thermal performance.

2.

Experimental Study of the Effect of Dedicated Mechanical Subcooling on the Performance of a Single Multiparallel Evaporator

Number of pages: 19 Posted: 10 Jan 2024
Huan Sun, Yunsong Li, Zhili Sun, Dongxia Wu and Zhuoya Lei
Tianjin University of Commerce, Tianjin University of Commerce, Tianjin University of Commerce, Tianjin University of Commerce and Tianjin University of Commerce
Downloads 15 (1,226,748)

Abstract:

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Rectifier nozzle type distributor, Superheat inhomogeneity, Multiparallel evaporator, System performance, Mechanical subcooling

3.

Hybrid Thermal Load Prediction Model for the Regional Built Environment Based on Random Forest Feature Screening

Number of pages: 56 Posted: 22 Mar 2025
Jiangxing Zhu, Tonghua Zou, Dongxia Wu, Yongchun Feng, Tianlei Wang, Jiarui Huang, Baomin Dai, Chendong Wang and Jiaming Gao
affiliation not provided to SSRN, Tianjin University of Commerce, Tianjin University of Commerce, Tianjin University of Commerce, Tianjin Chengjian University, Dalian Maritime University, Tianjin University of Commerce, Tianjin University of Commerce and affiliation not provided to SSRN
Downloads 10 (1,269,786)

Abstract:

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Heating load forecasting, Random Forests (RF), Long short-term memory network (LSTM), Bidirectional Recurrent Neural Network (Bi-LSTM), Building energy saving