default author photo

Jianwei Song

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

57

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

A Machine Learning-Based Framework for Working Fluid Selection and Performance Prediction in a Thermally Integrated Carnot Battery Using Group Contribution Method

Downloads 57 (1,183,237)

A Machine Learning-Based Framework for Working Fluid Selection and Performance Prediction in a Thermally Integrated Carnot Battery Using Group Contribution Method

Number of pages: 47 Posted: 15 Jan 2026
Xiang Lin, Wang Penghui, Jianwei Song, Qianqian Yin, Xiaoxun Zhu, Xiaoxia Gao, Qian Baiyun and Liu Wei
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University, North China Electric Power University - School of Energy, Power and Mechanical Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 31 (1,356,108)

Abstract:

Loading...

Thermally Integrated Carnot Battery, Working Fluid Selection, Group Contribution Method, Artificial Neural Network, Multi-objective optimization

A Machine Learning-Based Framework for Working Fluid Selection and Performance Prediction in a Thermally Integrated Carnot Battery Using Group Contribution Method

Number of pages: 48 Posted: 27 Jun 2026
Xiang Lin, Wang Penghui, Jianwei Song, Qianqian Yin, Xiaoxun Zhu, Xiaoxia Gao, Qian Baiyun and Liu Wei
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University, North China Electric Power University - School of Energy, Power and Mechanical Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 14

Abstract:

Loading...

Thermally Integrated Carnot Battery, Working Fluid Selection, Group Contribution Method, Artificial neural network, Multi-objective optimization

A Machine Learning-Based Framework for Working Fluid Selection and Performance Prediction in a Thermally Integrated Carnot Battery Using Group Contribution Method

Number of pages: 47 Posted: 22 Jan 2026
Xiang Lin, Wang Penghui, Jianwei Song, Qianqian Yin, Xiaoxun Zhu, Xiaoxia Gao, Qian Baiyun and Liu Wei
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University, North China Electric Power University - School of Energy, Power and Mechanical Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 12 (1,606,395)

Abstract:

Loading...

Thermally Integrated Carnot Battery, Working Fluid Selection, Group Contribution Method, Artificial Neural Network, Multi-Objective optimization