Special issue on artificial intelligence in thermal engineering systems

Author:

Xiao Fu,Guo Fangzhou,Fan Cheng,Besagni Giorgio

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Fluid Flow and Transfer Processes,Mechanical Engineering

Reference10 articles.

1. Real-time energy performance benchmarking of electric vehicle air conditioning systems using adaptive neural network and Gaussian process regression;Guo;Appl. Therm. Eng.,2023

2. Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation;Fu;Appl. Thermal Eng.,2024

3. Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning;Li;Appl. Thermal Eng.,2024

4. Y. Ruan, M. Zheng, F. Qian, H. Meng, J. Yao, T. Xu, D. Pei, Fault detection and diagnosis of energy system based on deep learning image recognition model under the condition of imbalanced samples, Appl. Thermal Eng. (n.d.).

5. Machine learning based prediction of heat transfer deterioration of supercritical fluid in upward vertical tubes;Xiao;Appl. Therm. Eng.,2023

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