Huilong Wang 
- (2024): Evaluating Machine Learning Models for HVAC Demand Response: The Impact of Prediction Accuracy on Model Predictive Control Performance. In: Buildings, v. 14, n. 7 (2 July 2024).
- (2024): Reinforcement learning in building controls: A comparative study of algorithms considering model availability and policy representation. In: Journal of Building Engineering, v. 90 (August 2024).
- (2023): Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts. In: Building Simulation, v. 16, n. 8 (June 2023).
- (2023): An XGBoost-Based predictive control strategy for HVAC systems in providing day-ahead demand response. In: Building and Environment, v. 238 (June 2023).
- (2022): A Comprehensive Study on Integrating Clustering with Regression for Short-Term Forecasting of Building Energy Consumption: Case Study of a Green Building. In: Buildings, v. 12, n. 10 (20 September 2022).
- (2021): A novel short-term load forecasting framework based on time-series clustering and early classification algorithm. In: Energy and Buildings, v. 251 (November 2021).
- (2016): 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).
- (2020): The impact of providing frequency regulation service to power grids on indoor environment control and dedicated test signals for buildings. In: Building and Environment, v. 183 (October 2020).
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