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 | 177 | 2023 |
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 | 139 | 2019 |
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 | 19 | 2023 |
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 | 15 | 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 | 14 | 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 | 12 | 2020 |
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 | 11 | 2024 |
Performance benchmarking of residential air conditioning systems using smart thermostat data F Guo, B Rasmussen Applied Thermal Engineering 225, 120195, 2023 | 11 | 2023 |
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 | 10 | 2022 |
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 | 10* | 2020 |
A Change Point Detection Algorithm with Application to Smart Thermostat Data. AP Rogers, F Guo, BP Rasmussen ASHRAE Transactions 126 (1), 2020 | 9 | 2020 |
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 | 6 | 2022 |
Deep reinforcement learning control for co-optimizing energy consumption, thermal comfort, and indoor air quality in an office building F Guo, S woo Ham, D Kim, HJ Moon Applied Energy 377, 124467, 2025 | 4 | 2025 |
Fault detection and diagnosis for residential hvac systems using transient cloud-based thermostat data F Guo, BP Rasmussen | 4 | 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 | 3 | 2024 |
Special issue on artificial intelligence in thermal engineering systems F Xiao, F Guo, C Fan, G Besagni Applied Thermal Engineering 236, 121894, 2024 | 3 | 2024 |
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 | 3 | 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 | 2 | 2023 |
Large scale data analytics for fault detection and diagnosis of residential hvac systems F Guo | 2 | 2021 |
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 |