- Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.. Dans: Sustainable Cities and Society. :
- (2023): Phonon Transport Characteristics of Nano-Silicon Thin Films Irradiated by Ultrafast Laser under Dispersion Relation. Dans: Buildings, v. 14, n. 1 (31 décembre 2023).
- (2023): Hourly Heat Load Prediction for Residential Buildings Based on Multiple Combination Models: A Comparative Study. Dans: Buildings, v. 13, n. 9 (23 août 2023).
- Developing simplified numerical calculation and BP neural network modeling for the cooling capacity in a radiant floor cooling system. Dans: Journal of Asian Architecture and Building Engineering, v. 23, n. 2 (décembre 2023). (2023):
- Application potential analysis of different control strategies for radiant floor cooling systems in office buildings in different climate zones of China. Dans: Energy and Buildings, v. 282 (mars 2023). (2023):
- (2023): A Numerical Study on the Exergy Performance of a Hybrid Radiant Cooling System in an Office Building: Comparative Case Study and Analysis. Dans: Buildings, v. 13, n. 2 (14 février 2023).
- Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis. Dans: Sustainable Cities and Society, v. 83 (août 2022). (2022):
- Developing a collaborative control strategy of a combined radiant floor cooling and ventilation system: A PMV-based model. Dans: Journal of Building Engineering, v. 54 (août 2022). (2022):
- (2022): Experimental and Numerical Study of an Active Solar Heating System with Soil Heat Storage for Greenhouses in Cold Climate Zones. Dans: Buildings, v. 12, n. 4 (11 avril 2022).
- Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models. Dans: Sustainable Cities and Society, v. 62 (novembre 2020). (2020):
- Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression. Dans: Sustainable Cities and Society, v. 62 (novembre 2020). (2020):
- Predicting electricity consumption in a building using an optimized back-propagation and Levenberg–Marquardt back-propagation neural network: Case study of a shopping mall in China. Dans: Sustainable Cities and Society, v. 42 (octobre 2018). (2018):
- Traffic noise level predictions for buildings with windows opened for natural ventilation in urban environments. Dans: Science and Technology for the Built Environment, v. 23, n. 5 (juin 2017). (2017):
- Evaluating and adapting low exergy systems with decentralized ventilation for tropical climates. Dans: Energy and Buildings, v. 67 (décembre 2013). (2013):
- Decentralized cooling and dehumidification with a 3 stage LowEx heat exchanger for free reheating. Dans: Energy and Buildings, v. 76 (juin 2014). (2014):
- Energy and exergy analyses of advanced decentralized ventilation system compared with centralized cooling and air ventilation systems in the hot and humid climate. Dans: Energy and Buildings, v. 79 (août 2014). (2014):
- Advanced Airbox cooling and dehumidification system connected with a chilled ceiling panel in series adapted to hot and humid climates. Dans: Energy and Buildings, v. 85 (décembre 2014). (2014):
- Evaluation of the humidity performance of a novel radiant cooling system connected with an Airbox convector as a low exergy system adapted to hot and humid climates. Dans: Energy and Buildings, v. 84 (décembre 2014). (2014):
- A novel ventilation strategy with CO2 capture device and energy saving in buildings. Dans: Energy and Buildings, v. 87 (janvier 2015). (2015):
- Energy analysis of a decentralized ventilation system compared with centralized ventilation systems in European climates: Based on review of analyses. Dans: Energy and Buildings, v. 111 (janvier 2016). (2016):
- Energy analysis of a hybrid radiant cooling system under hot and humid climates: A case study at Shanghai in China. Dans: Building and Environment, v. 137 (juin 2018). (2018):
- Performance of novel ventilation strategy for capturing CO 2 with scheduled occupancy diversity and infiltration rate. Dans: Building and Environment, v. 89 (juillet 2015). (2015):
- A case study on feasible performance of a system combining an airbox convector with a radiant panel for tropical climates. Dans: Building and Environment, v. 82 (décembre 2014). (2014):