关注
Jiangyan LIU (刘江岩)
Jiangyan LIU (刘江岩)
School of Energy and Power Engineering, Chongqing University
在 cqu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Machine learning-based thermal response time ahead energy demand prediction for building heating systems
Y Guo, J Wang, H Chen, G Li, J Liu, C Xu, R Huang, Y Huang
Applied energy 221, 16-27, 2018
1862018
Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving
Y Guo, Z Tan, H Chen, G Li, J Wang, R Huang, J Liu, T Ahmad
Applied Energy 225, 732-745, 2018
1732018
An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm
G Li, Y Hu, H Chen, L Shen, H Li, M Hu, J Liu, K Sun
Energy and Buildings 116, 104-113, 2016
1352016
Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification
Z Dong, J Liu, B Liu, K Li, X Li
Energy and Buildings 241, 110929, 2021
1292021
Optimized charging of lithium-ion battery for electric vehicles: Adaptive multistage constant current–constant voltage charging strategy
Y Li, K Li, Y Xie, J Liu, C Fu, B Liu
Renewable energy 146, 2688-2699, 2020
1212020
A novel efficient SVM-based fault diagnosis method for multi-split air conditioning system’s refrigerant charge fault amount
K Sun, G Li, H Chen, J Liu, J Li, W Hu
Applied Thermal Engineering 108, 989-998, 2016
982016
Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions
G Li, Y Hu, H Chen, H Li, M Hu, Y Guo, J Liu, S Sun, M Sun
Applied energy 185, 846-861, 2017
892017
An improved decision tree-based fault diagnosis method for practical variable refrigerant flow system using virtual sensor-based fault indicators
G Li, H Chen, Y Hu, J Wang, Y Guo, J Liu, H Li, R Huang, H Lv, J Li
Applied Thermal Engineering 129, 1292-1303, 2018
872018
Transfer learning-based strategies for fault diagnosis in building energy systems
J Liu, Q Zhang, X Li, G Li, Z Liu, Y Xie, K Li, B Liu
Energy and Buildings 250, 111256, 2021
852021
Data-driven and association rule mining-based fault diagnosis and action mechanism analysis for building chillers
J Liu, D Shi, G Li, Y Xie, K Li, B Liu, Z Ru
Energy and Buildings 216, 109957, 2020
772020
Daily soil temperatures predictions for various climates in United States using data-driven model
L Xing, L Li, J Gong, C Ren, J Liu, H Chen
Energy 160, 430-440, 2018
672018
Refrigerant charge fault diagnosis in the VRF system using Bayesian artificial neural network combined with ReliefF filter
S Shi, G Li, H Chen, J Liu, Y Hu, L Xing, W Hu
Applied Thermal Engineering 112, 698-706, 2017
652017
An improved intelligent model predictive controller for cooling system of electric vehicle
Y Xie, Z Liu, K Li, J Liu, Y Zhang, D Dan, C Wu, P Wang, X Wang
Applied Thermal Engineering 182, 116084, 2021
532021
A Self-learning intelligent passenger vehicle comfort cooling system control strategy
Y Xie, Z Liu, J Liu, K Li, Y Zhang, C Wu, P Wang, X Wang
Applied Thermal Engineering 166, 114646, 2020
522020
Sensitivity analysis for PCA-based chiller sensor fault detection
Y Hu, G Li, H Chen, H Li, J Liu
International journal of refrigeration 63, 133-143, 2016
522016
A robust online refrigerant charge fault diagnosis strategy for VRF systems based on virtual sensor technique and PCA-EWMA method
J Liu, G Li, H Chen, J Wang, Y Guo, J Li
Applied Thermal Engineering 119, 233-243, 2017
502017
A refrigerant charge fault detection method for variable refrigerant flow (VRF) air-conditioning systems
J Liu, Y Hu, H Chen, J Wang, G Li, W Hu
Applied Thermal Engineering 107, 284-293, 2016
502016
Optimization of charging strategy for lithium-ion battery packs based on complete battery pack model
Y Li, K Li, Y Xie, B Liu, J Liu, J Zheng, W Li
Journal of Energy Storage 37, 102466, 2021
462021
An improved stacking ensemble learning-based sensor fault detection method for building energy systems using fault-discrimination information
G Li, Y Zheng, J Liu, Z Zhou, C Xu, X Fang, Q Yao
Journal of Building Engineering 43, 102812, 2021
442021
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
G Li, L Chen, J Liu, X Fang
Energy 263, 125943, 2023
432023
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