Guannan Li
- (2024): Interpretability assessment of convolutional neural network-based fault diagnosis for air handling units working in three seasons. In: Energy and Buildings, v. 324 (Dezember 2024).
- : Effects of various information scenarios on layer-wise relevance propagation-based interpretable convolutional neural networks for air handling unit fault diagnosis. In: Building Simulation.
- (2024): An interpretable graph convolutional neural network based fault diagnosis method for building energy systems. In: Building Simulation, v. 17, n. 7 (27 Juni 2024).
- (2024): A hybrid transfer learning to continual learning strategy for improving cross-building energy prediction in data increment scenario. In: Journal of Building Engineering, v. 95 (Oktober 2024).
- (2024): Effect of phase change materials on thermophysical properties of asphalt mixtures and snow melting performance. In: Construction and Building Materials, v. 438 (August 2024).
- (2024): Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation. In: Journal of Building Engineering, v. 91 (August 2024).
- (2023): Experimental and molecular dynamics simulation of hard asphalt microstructure. In: Construction and Building Materials, v. 377 (Mai 2023).
- (2024): Fault detection, diagnosis and calibration of heating, ventilation and air conditioning sensors by combining principal component analysis and improved bayesian inference. In: Journal of Building Engineering, v. 82 (April 2024).
- (2024): An improved transfer learning strategy for short_term cross-building energy prediction using data incremental. In: Building Simulation, v. 17, n. 1 (Januar 2024).
- (2023): An efficient sensor and thermal coupling fault diagnosis methodology for building energy systems. In: Energy and Buildings, v. 296 (Oktober 2023).
- (2023): Interpretation and explanation of convolutional neural network-based fault diagnosis model at the feature-level for building energy systems. In: Energy and Buildings, v. 295 (September 2023).
- (2023): Interpretation of convolutional neural network-based building HVAC fault diagnosis model using improved layer-wise relevance propagation. In: Energy and Buildings, v. 286 (Mai 2023).
- (2023): In-situ sensor calibration for building HVAC systems with limited information using general regression improved Bayesian inference. In: Building and Environment, v. 234 (April 2023).
- (2022): Extending the Black diagram of bitumen to three dimensions. In: Construction and Building Materials, v. 349 (September 2022).
- (2022): Differentiation of thixotropy from damage for accurately characterizing fatigue resistance of asphalt binder. In: Construction and Building Materials, v. 344 (August 2022).
- (2022): Density, zero shear viscosity and microstructure analysis of asphalt binder using molecular dynamics simulation. In: Construction and Building Materials, v. 345 (August 2022).
- (2021): Developing fragility curves for asphalt mixture to assess the uncertainty of the permanent deformation performance. In: Construction and Building Materials, v. 310 (Dezember 2021).
- (2021): A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction. In: Energy and Buildings, v. 252 (Dezember 2021).
- (2021): Assessment of long short-term memory and its modifications for enhanced short-term building energy predictions. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems. In: Building and Environment, v. 203 (Oktober 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): Fault diagnosis method for building VRF system based on convolutional neural network: Considering system defrosting process and sensor fault coupling. In: Building and Environment, v. 195 (Mai 2021).
- (2020): Improvement of the energy evaluation methodology of individual office building with dynamic energy grading system. In: Sustainable Cities and Society, v. 58 (Juli 2020).
- (2020): A comparison study of basic data-driven fault diagnosis methods for variable refrigerant flow system. In: Energy and Buildings, v. 224 (Oktober 2020).
- (2016): An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm. In: Energy and Buildings, v. 116 (März 2016).
- (2017): An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis. In: Energy and Buildings, v. 142 (Mai 2017).
- (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 (Juli 2017).
- (2018): Improved sensor fault detection, diagnosis and estimation for screw chillers using density-based clustering and principal component analysis. In: Energy and Buildings, v. 173 (August 2018).
- (2020): Data-driven and association rule mining-based fault diagnosis and action mechanism analysis for building chillers. In: Energy and Buildings, v. 216 (Juni 2020).
- (2019): An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising. In: Energy and Buildings, v. 183 (Januar 2019).
Structurae kooperiert mit
