Guannan Li
- (2024): Large-scale molecular dynamics simulation and aggregate behavior research on asphalt. In: Case Studies in Construction Materials, v. 21 (December 2024).
- (2023): Transferability investigation of a Sim2Real deep transfer learning framework for cross-building energy prediction. In: Energy and Buildings, v. 287 (May 2023).
- (2023): Study on stochastic behavior of particle system in hot mix asphalt mixture from a meso-structural perspective. In: Construction and Building Materials, v. 372 (April 2023).
- (2022): Validation of virtual sensor-assisted Bayesian inference-based in-situ sensor calibration strategy for building HVAC systems. In: Building Simulation, v. 16, n. 2 (September 2022).
- (2022): Investigating the effect of preheating conditions and size effect on asphalt blending in recycled asphalt mixture: New approach based on artificial aggregate and laser scanning confocal microscopy. In: Construction and Building Materials, v. 353 (October 2022).
- (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 spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction. In: Energy and Buildings, v. 271 (September 2022).
- (2021): Research on the self-healing behavior of asphalt mixed with healing agents based on molecular dynamics method. In: Construction and Building Materials, v. 295 (August 2021).
- (2022): Research on the phase structure of Styrene-Butadiene-Styrene modified asphalt based on molecular dynamics. In: Construction and Building Materials, v. 326 (April 2022).
- (2022): A statistical-based online cross-system fault detection method for building chillers. In: Building Simulation, v. 15, n. 8 (25 March 2022).
- (2022): Simulation and optimization of the key parameters of combined floor and Kang heating terminal based on differentiated thermal demands. In: Energy and Buildings, v. 254 (January 2022).
- (2021): Transfer learning-based strategies for fault diagnosis in building energy systems. In: Energy and Buildings, v. 250 (November 2021).
- (2020): Investigation on the distributing behaviors of clogging particles in permeable asphalt mixtures from the microstructure perspective. In: Construction and Building Materials, v. 263 (December 2020).
- (2020): Research on bitumen molecule aggregation based on coarse-grained molecular dynamics. In: Construction and Building Materials, v. 263 (December 2020).
- (2016): A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method. In: Energy and Buildings, v. 112 (January 2016).
- (2016): A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D-statistic and DV-contribution plots. In: Energy and Buildings, v. 133 (December 2016).
- (2017): Optimization of support vector regression model based on outlier detection methods for predicting electricity consumption of a public building WSHP system. In: Energy and Buildings, v. 151 (September 2017).
- (2018): A machine learning bayesian network for refrigerant charge faults of variable refrigerant flow air conditioning system. In: Energy and Buildings, v. 158 (January 2018).
- (2020): Investigation on clogging characteristics of permeable asphalt mixtures. In: Construction and Building Materials, v. 264 (December 2020).
- (2020): Self-healing behavior of asphalt system based on molecular dynamics simulation. In: Construction and Building Materials, v. 254 (September 2020).
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