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Fangzhou Guo
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Cited by
Year
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
1772023
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
1392019
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
192023
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
152023
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
142023
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
122020
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
112024
Performance benchmarking of residential air conditioning systems using smart thermostat data
F Guo, B Rasmussen
Applied Thermal Engineering 225, 120195, 2023
112023
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
102022
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
92020
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
62022
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
42025
Fault detection and diagnosis for residential hvac systems using transient cloud-based thermostat data
F Guo, BP Rasmussen
42021
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
32024
Special issue on artificial intelligence in thermal engineering systems
F Xiao, F Guo, C Fan, G Besagni
Applied Thermal Engineering 236, 121894, 2024
32024
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
32019
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
22023
Large scale data analytics for fault detection and diagnosis of residential hvac systems
F Guo
22021
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
12021
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