Cite
Multi-objective optimization analysis of combined heating and cooling transcritical CO2 system integrated with mechanical subcooling utilizing hydrocarbon mixture based on machine learning.
MLA
Dai, Baomin, et al. “Multi-Objective Optimization Analysis of Combined Heating and Cooling Transcritical CO2 System Integrated with Mechanical Subcooling Utilizing Hydrocarbon Mixture Based on Machine Learning.” Energy Conversion & Management, vol. 301, Feb. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.enconman.2023.118057.
APA
Dai, B., Wang, Q., Liu, S., Zhang, J., Wang, Y., Kong, Z., Chen, Y., & Wang, D. (2024). Multi-objective optimization analysis of combined heating and cooling transcritical CO2 system integrated with mechanical subcooling utilizing hydrocarbon mixture based on machine learning. Energy Conversion & Management, 301, N.PAG. https://doi.org/10.1016/j.enconman.2023.118057
Chicago
Dai, Baomin, Qilong Wang, Shengchun Liu, Jianing Zhang, Yabo Wang, Ziang Kong, Yue Chen, and Dabiao Wang. 2024. “Multi-Objective Optimization Analysis of Combined Heating and Cooling Transcritical CO2 System Integrated with Mechanical Subcooling Utilizing Hydrocarbon Mixture Based on Machine Learning.” Energy Conversion & Management 301 (February): N.PAG. doi:10.1016/j.enconman.2023.118057.