Weilin Li
- Leveraging artificial neural networks for air humidity measurement in air conditioning systems. In: Building and Environment, v. 255 (May 2024). (2024):
- Incorporating Occupant cooling behaviors into novel thermal comfort models for residential demand response. In: Energy and Buildings, v. 311 (May 2024). (2024):
- Research on fault detection and diagnosis of carbon dioxide heat pump systems in buildings based on transfer learning. In: Journal of Building Engineering, v. 85 (May 2024). (2024):
- Experimental and Numerical Study on the Aerodynamic Admittance of Twin-Box Bridge Decks in Sinusoidal Gusts and Continuous Turbulence. In: Journal of Bridge Engineering (ASCE), v. 28, n. 11 (November 2023). (2023):
- A review of the influence of courtyard geometry and orientation on microclimate. In: Building and Environment, v. 236 (May 2023). (2023):
- (2023): Machine Learning Approach to Predict Building Thermal Load Considering Feature Variable Dimensions: An Office Building Case Study. In: Buildings, v. 13, n. 2 (14 February 2023).
- Study of ultra-light modular phase change cooling clothing based on dynamic human thermal comfort modeling. In: Building and Environment, v. 222 (August 2022). (2022):
- Existing building retrofitting for Indoor PM2.5 Concentration Control on Smog Days: Case study in China. In: Procedia Engineering, v. 205 ( 2017). (2017):
- Aerodynamic admittance of a 6:1 rectangular cylinder: A computational study on the role of turbulence intensity and integral length scale. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 218 (November 2021). (2021):
- Improved indoor air temperature and humidity control using a novel direct-expansion-based air conditioning system. In: Journal of Building Engineering, v. 43 (November 2021). (2021):
- A pre-processing method of internal thermal mass for building energy simulation software. In: Journal of Building Performance Simulation, v. 14, n. 3 (10 April 2021). (2021):
- Research on the performance of an adsorption heat pump in winter demand response. In: Science and Technology for the Built Environment, v. 23, n. 3 (February 2017). (2017):
- A fast method to predict the demand response peak load reductions of commercial buildings. In: Science and Technology for the Built Environment, v. 22, n. 6 (August 2016). (2016):
- Optimal demand response strategy of a portfolio of multiple commercial buildings: Methods and a case study. In: Science and Technology for the Built Environment, v. 22, n. 6 (August 2016). (2016):
- Retrofitting existing buildings to control indoor PM2.5 concentration on smog days: Initial experience of residential buildings in China. In: Building Services Engineering Research and Technology, v. 39, n. 3 (April 2018). (2018):
- A new method for calculating the thermal effects of irregular internal mass in buildings under demand response. In: Energy and Buildings, v. 130 (October 2016). (2016):
- A transient model for the thermal inertia of chilled-water systems during demand response. In: Energy and Buildings, v. 150 (September 2017). (2017):
- Short-term metropolitan-scale electric load forecasting based on load decomposition and ensemble algorithms. In: Energy and Buildings, v. 225 (October 2020). (2020):
- Estimating demand response potential under coupled thermal inertia of building and air-conditioning system. In: Energy and Buildings, v. 182 (January 2019). (2019):
- Measures to improve energy demand flexibility in buildings for demand response (DR): A review. In: Energy and Buildings, v. 177 (October 2018). (2018):