Guannan Li
- Transferability investigation of a Sim2Real deep transfer learning framework for cross-building energy prediction. In: Energy and Buildings, v. 287 (Mai 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). (2023):
- 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):
- 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). (2022):
- 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). (2021):
- 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 März 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 (Januar 2022). (2022):
- Transfer learning-based strategies for fault diagnosis in building energy systems. In: Energy and Buildings, v. 250 (November 2021). (2021):
- Research on bitumen molecule aggregation based on coarse-grained molecular dynamics. In: Construction and Building Materials, v. 263 (Dezember 2020). (2020):
- 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 (Januar 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 (Dezember 2016). (2016):
- 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). (2017):
- Self-healing behavior of asphalt system based on molecular dynamics simulation. In: Construction and Building Materials, v. 254 (September 2020). (2020):