Weilin Li
- : Wasserstein bi-classifier adversarial learning network for machinery fault diagnostics. In: Structural Health Monitoring.
- (2024): Leveraging artificial neural networks for air humidity measurement in air conditioning systems. In: Building and Environment, v. 255 (Mai 2024).
- (2024): Incorporating Occupant cooling behaviors into novel thermal comfort models for residential demand response. In: Energy and Buildings, v. 311 (Mai 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 (Mai 2024).
- (2023): 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 (Mai 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 Februar 2023).
- (2022): Study of ultra-light modular phase change cooling clothing based on dynamic human thermal comfort modeling. In: Building and Environment, v. 222 (August 2022).
- (2017): Existing building retrofitting for Indoor PM2.5 Concentration Control on Smog Days: Case study in China. In: Procedia Engineering, v. 205 ( 2017).
- (2021): 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).
- (2017): 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 (Februar 2017).
- (2016): 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).
- (2018): 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).
- (2016): A new method for calculating the thermal effects of irregular internal mass in buildings under demand response. In: Energy and Buildings, v. 130 (Oktober 2016).
- (2017): A transient model for the thermal inertia of chilled-water systems during demand response. In: Energy and Buildings, v. 150 (September 2017).
- (2020): Short-term metropolitan-scale electric load forecasting based on load decomposition and ensemble algorithms. In: Energy and Buildings, v. 225 (Oktober 2020).
- (2019): Estimating demand response potential under coupled thermal inertia of building and air-conditioning system. In: Energy and Buildings, v. 182 (Januar 2019).
- (2018): Measures to improve energy demand flexibility in buildings for demand response (DR): A review. In: Energy and Buildings, v. 177 (Oktober 2018).
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