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| 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 | 185 | 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 | 171 | 2018 |
| Review of various modeling techniques for the detection of electricity theft in smart grid environment T Ahmad, H Chen, J Wang, Y Guo Renewable and Sustainable Energy Reviews 82, 2916-2933, 2018 | 134 | 2018 |
| Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method C Xu, H Chen, J Wang, Y Guo, Y Yuan Building and Environment 148, 128-135, 2019 | 127 | 2019 |
| 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 | 89 | 2017 |
| 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 | 87 | 2018 |
| A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction T Liu, C Xu, Y Guo, H Chen International Journal of Refrigeration 107, 39-51, 2019 | 82 | 2019 |
| A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D-statistic and DV-contribution plots G Li, Y Hu, H Chen, H Li, M Hu, Y Guo, S Shi, W Hu Energy and Buildings 133, 230-245, 2016 | 78 | 2016 |
| An expert rule-based fault diagnosis strategy for variable refrigerant flow air conditioning systems Y Guo, J Wang, H Chen, G Li, R Huang, Y Yuan, T Ahmad, S Sun Applied Thermal Engineering 149, 1223-1235, 2019 | 75 | 2019 |
| An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis Y Guo, G Li, H Chen, Y Hu, H Li, L Xing, W Hu Energy and Buildings 142, 167-178, 2017 | 73 | 2017 |
| Optimized neural network-based fault diagnosis strategy for VRF system in heating mode using data mining Y Guo, G Li, H Chen, J Wang, M Guo, S Sun, W Hu Applied Thermal Engineering 125, 1402-1413, 2017 | 70 | 2017 |
| Sensor fault detection and diagnosis for a water source heat pump air-conditioning system based on PCA and preprocessed by combined clustering H Zhang, H Chen, Y Guo, J Wang, G Li, L Shen Applied Thermal Engineering 160, 114098, 2019 | 63 | 2019 |
| Fault diagnosis of VRF air-conditioning system based on improved Gaussian mixture model with PCA approach Y Guo, H Chen International journal of refrigeration 118, 1-11, 2020 | 53 | 2020 |
| A novel energy demand prediction strategy for residential buildings based on ensemble learning Y Huang, Y Yuan, H Chen, J Wang, Y Guo, T Ahmad Energy Procedia 158, 3411-3416, 2019 | 53 | 2019 |
| A machine learning bayesian network for refrigerant charge faults of variable refrigerant flow air conditioning system M Hu, H Chen, L Shen, G Li, Y Guo, H Li, J Li, W Hu Energy and Buildings 158, 668-676, 2018 | 52 | 2018 |
| An efficient VRF system fault diagnosis strategy for refrigerant charge amount based on PCA and dual neural network model S Shi, G Li, H Chen, Y Hu, X Wang, Y Guo, S Sun Applied Thermal Engineering 129, 1252-1262, 2018 | 50 | 2018 |
| 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 | 48 | 2017 |
| Identification and isolation of outdoor fouling faults using only built-in sensors in variable refrigerant flow system: A data mining approach G Li, Y Hu, H Chen, J Wang, Y Guo, J Liu, J Li Energy and Buildings 146, 257-270, 2017 | 40 | 2017 |
| An effective fault diagnosis method for centrifugal chillers using associative classification R Huang, J Liu, H Chen, Z Li, J Liu, G Li, Y Guo, J Wang Applied Thermal Engineering 136, 633-642, 2018 | 39 | 2018 |
