Yuting An 
- (2023): Energy-efficient control of indoor PM2.5 and thermal comfort in a real room using deep reinforcement learning. Dans: Energy and Buildings, v. 295 (septembre 2023).
- (2023): Predicting spatial distribution of ultraviolet irradiance and disinfection of exhaled bioaerosols with a modified irradiance model. Dans: Building and Environment, v. 228 (janvier 2023).
- (2022): Smart control of window and air cleaner for mitigating indoor PM2.5 with reduced energy consumption based on deep reinforcement learning. Dans: Building and Environment, v. 224 (octobre 2022).
- (2022): A combined deep learning and physical modelling method for estimating air pollutants’ source location and emission profile in street canyons. Dans: Building and Environment, v. 219 (juillet 2022).
- (2022): Predicting transient particle transport in periodic ventilation using Markov chain model with pre-stored transition probabilities. Dans: Building and Environment, v. 211 (mars 2022).
- (2021): Exploring the feasibility of predicting contaminant transport using a stand-alone Markov chain solver based on measured airflow in enclosed environments. Dans: Building and Environment, v. 202 (septembre 2021).
- (2021): A reinforcement learning approach for control of window behavior to reduce indoor PM2.5 concentrations in naturally ventilated buildings. Dans: Building and Environment, v. 200 (août 2021).
- (2020): Modeling transient particle transport in transient indoor airflow by fast fluid dynamics with the Markov chain method. Dans: Building and Environment, v. 186 (décembre 2020).
Structurae coopère avec
