- Blast mitigation effects of TPU polymers-based inflated membrane structures under external explosion. In: Construction and Building Materials, v. 427 (May 2024). (2024):
- Study on the mechanical properties and ballistic resistance of interface-modified fabrics with environmentally friendly shear thickening liquid. In: Composite Structures, v. 337 (June 2024). (2024):
- Chiller fault diagnosis based on improved variational autoencoder and co-training framework: A case study of insufficient samples. In: Journal of Building Engineering, v. 88 (July 2024). (2024):
- An interpretable feature selection method integrating ensemble models for chiller fault diagnosis. In: Journal of Building Engineering, v. 87 (June 2024). (2024):
- AI and IoT applications of smart buildings and smart environment design, construction and maintenance. In: Building and Environment, v. 229 (February 2023). (2023):
- Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change. In: Building and Environment, v. 226 (December 2022). (2022):
- A solar forecasting framework based on federated learning and distributed computing. In: Building and Environment, v. 225 (November 2022). (2022):
- A model developed for predicting thermal comfort during sleep in response to appropriate air velocity in warm environments. In: Building and Environment, v. 223 (September 2022). (2022):
- Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms. In: Building and Environment, v. 218 (June 2022). (2022):
- Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms. In: Building and Environment, v. 215 (May 2022). (2022):
- Probabilistic graphical models in energy systems: A review. In: Building Simulation, v. 15, n. 5 (October 2021). (2021):
- Characteristics and comfort evaluation of sinusoidal airflows by regulating motor rotating frequency of a floor fan. In: Building Simulation, v. 15, n. 6 (December 2021). (2021):
- Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. In: Energy and Buildings, v. 252 (December 2021). (2021):
- Chiller fault detection and diagnosis with anomaly detective generative adversarial network. In: Building and Environment, v. 201 (August 2021). (2021):
- ARX model based fault detection and diagnosis for chillers using support vector machines. In: Energy and Buildings, v. 81 (October 2014). (2014):
- Robust model-based fault diagnosis for air handling units. In: Energy and Buildings, v. 86 (January 2015). (2015):
- Unsupervised learning for fault detection and diagnosis of air handling units. In: Energy and Buildings, v. 210 (March 2020). (2020):
- Semi-supervised learning for early detection and diagnosis of various air handling unit faults. In: Energy and Buildings, v. 181 (December 2018). (2018):
- Generative adversarial network for fault detection diagnosis of chillers. In: Building and Environment, v. 172 (April 2020). (2020):