| A review of fault detection and diagnosis methods for residential air conditioning systems AP Rogers, F Guo, BP Rasmussen Building and Environment 161, 106236, 2019 | 110 | 2019 |
| Interpretable machine learning for building energy management: A state-of-the-art review Z Chen, F Xiao, F Guo, J Yan Advances in Applied Energy 9, 100123, 2023 | 88 | 2023 |
| Real-time energy performance benchmarking of electric vehicle air conditioning systems using adaptive neural network and Gaussian process regression F Guo, Z Chen, F Xiao, A Li, J Shi Applied Thermal Engineering 222, 119931, 2023 | 12 | 2023 |
| Uncertainty analysis and field implementation of a fault detection method for residential HVAC systems A Rogers, F Guo, B Rasmussen Science and Technology for the Built Environment 26 (3), 320-333, 2020 | 11 | 2020 |
| Predictive maintenance for residential air conditioning systems with smart thermostat data using modified Mann-Kendall tests F Guo, B Rasmussen Applied Thermal Engineering 222, 119955, 2023 | 9 | 2023 |
| Labeling Modes of Operation and Extracting Features for Fault Detection with Cloud-Based Thermostat Data (VC-20-C006) A Rogers, F Guo, B Rasmussen, J Martinez 2020 ASHRAE Virtual Conference, 2020 | 8* | 2020 |
| Multivariate fault detection for residential HVAC systems using cloud-based thermostat data, part I: Methodology F Guo, AP Rogers, BP Rasmussen Science and Technology for the Built Environment 28 (2), 109-120, 2022 | 7 | 2022 |
| A Change Point Detection Algorithm with Application to Smart Thermostat Data. AP Rogers, F Guo, BP Rasmussen ASHRAE Transactions 126 (1), 2020 | 7 | 2020 |
| Similarity learning-based fault detection and diagnosis in building HVAC systems with limited labeled data Z Chen, F Xiao, F Guo Renewable and Sustainable Energy Reviews 185, 113612, 2023 | 5 | 2023 |
| Performance benchmarking of residential air conditioning systems using smart thermostat data F Guo, B Rasmussen Applied Thermal Engineering 225, 120195, 2023 | 5 | 2023 |
| Multivariate fault detection for residential HVAC systems using cloud-based thermostat data, part II: Case studies F Guo, AP Rogers, BP Rasmussen Science and Technology for the Built Environment 28 (2), 121-136, 2022 | 4 | 2022 |
| Fault detection and diagnosis for residential hvac systems using transient cloud-based thermostat data F Guo, BP Rasmussen | 2 | 2021 |
| Applying Static Fault Detection and Diagnosis Methods to Transient Air Conditioning Data Using an Equilibrium Prediction A Rogers, F Guo, B Rasmussen ASME International Mechanical Engineering Congress and Exposition 59438 …, 2019 | 2 | 2019 |
| Development of data-driven performance benchmarking methodology for a large number of bus air conditioners Z Chen, F Guo, F Xiao, X Jin, J Shi, W He International Journal of Refrigeration 149, 105-118, 2023 | 1 | 2023 |
| An Equilibrium Prediction Method for Control and Fault Detection of Energy Systems A Rogers, F Guo, B Rasmussen ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021 | 1 | 2021 |
| Large Scale Data Analytics for Fault Detection and Diagnosis of Residential HVAC Systems F Guo | 1 | 2021 |
| Fault detection and diagnosis of electric bus air conditioning systems incorporating domain knowledge and probabilistic artificial intelligence F Guo, Z Chen, F Xiao Energy and AI 16, 100364, 2024 | | 2024 |
| Improving the out-of-sample generalization ability of data-driven chiller performance models using physics-guided neural network F Guo, A Li, B Yue, Z Xiao, F Xiao, R Yan, A Li, Y Lv, B Su Applied Energy 354, 122190, 2024 | | 2024 |
| Special issue on artificial intelligence in thermal engineering systems F Xiao, F Guo, C Fan, G Besagni Applied Thermal Engineering, 121894, 2023 | | 2023 |
| A Method of Mapping Heat Exchanger as Simple Polynomials D Park, F Guo, BP Rasmussen | | 2021 |
Bryan P. RasmussenProfessor of Mechanical Engineering, Texas A&M UniversityVerified email at tamu.edu
