Jiangyan Liu 
- : Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation. In: Journal of Building Engineering.
- (2023): An efficient sensor and thermal coupling fault diagnosis methodology for building energy systems. In: Energy and Buildings, v. 296 (October 2023).
- (2022): Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies. In: Energy and Buildings, v. 275 (November 2022).
- (2022): A statistical-based online cross-system fault detection method for building chillers. In: Building Simulation, v. 15, n. 8 (25 March 2022).
- (2021): Impacts of data uncertainty on the performance of data-driven-based building fault diagnosis. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Transfer learning-based strategies for fault diagnosis in building energy systems. In: Energy and Buildings, v. 250 (November 2021).
- (2021): An improved stacking ensemble learning-based sensor fault detection method for building energy systems using fault-discrimination information. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification. In: Energy and Buildings, v. 241 (June 2021).
- (2020): Improvement of the energy evaluation methodology of individual office building with dynamic energy grading system. In: Sustainable Cities and Society, v. 58 (July 2020).
- (2016): An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm. In: Energy and Buildings, v. 116 (March 2016).
- (2017): Identification and isolation of outdoor fouling faults using only built-in sensors in variable refrigerant flow system: A data mining approach. In: Energy and Buildings, v. 146 (July 2017).
- (2018): Energy diagnosis of variable refrigerant flow (VRF) systems: Data mining technique and statistical quality control approach. In: Energy and Buildings, v. 175 (September 2018).
- (2020): Data-driven and association rule mining-based fault diagnosis and action mechanism analysis for building chillers. In: Energy and Buildings, v. 216 (June 2020).
- (2019): An efficient online wkNN diagnostic strategy for variable refrigerant flow system based on coupled feature selection method. In: Energy and Buildings, v. 183 (January 2019).
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