| 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 | 214 | 2018 |
| 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 | 187 | 2018 |
| 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 | 174 | 2021 |
| 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 | 157 | 2020 |
| 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 | 146 | 2016 |
| 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 | 111 | 2021 |
| 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 | 107 | 2016 |
| 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 | 99 | 2018 |
| 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 | 98 | 2017 |
| 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 | 88 | 2020 |
| 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 | 77 | 2018 |
| 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 | 73 | 2021 |
| 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 | 73 | 2017 |
| 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 | 67 | 2023 |
| 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 | 61 | 2020 |
| 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 | 57 | 2021 |
| 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 | 57 | 2016 |
| 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 | 56 | 2021 |
| 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 | 56 | 2016 |
| 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 | 54 | 2017 |
