Adrian Chong 
- (2024): Data-efficient comfort modeling: Active transfer learning for predicting personal thermal comfort using limited data. In: Energy and Buildings, v. 319 (September 2024).
- (2024): Evaluating the sensitivity and robustness of occupancy models for building energy simulation during design. In: Building and Environment, v. 261 (August 2024).
- (2024): Microclimate spatio-temporal prediction using deep learning and land use data. In: Building and Environment, v. 253 (April 2024).
- (2024): Evaluating different levels of information on the calibration of building energy simulation models. In: Building Simulation, v. 17, n. 4 (Januar 2024).
- (2024): Impact of building porosity on exterior convective heat transfer coefficients: An experimental and computational parametric study. In: Building and Environment, v. 247 (Januar 2024).
- (2024): Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context. In: Building and Environment, v. 248 (Januar 2024).
- (2023): AutoBPS-BIM: A toolkit to transfer BIM to BEM for load calculation and chiller design optimization. In: Building Simulation, v. 16, n. 7 (Juni 2023).
- (2023): Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization. In: Energy and Buildings, v. 287 (Mai 2023).
- (2023): Experimental assessment of thermal and acoustics interactions on occupant comfort in mixed-mode buildings. In: Building and Environment, v. 238 (Juni 2023).
- (2023): Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization. In: Building and Environment, v. 237 (Juni 2023).
- (2023): A hybrid active learning framework for personal thermal comfort models. In: Building and Environment, v. 234 (April 2023).
- (2022): Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy. In: Building and Environment, v. 226 (Dezember 2022).
- (2023): Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence. In: Energy and Buildings, v. 278 (Januar 2023).
- (2022): Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review. In: Energy and Buildings, v. 276 (Dezember 2022).
- (2023): Improving energy flexibility and PV self-consumption for a tropical net zero energy office building. In: Energy and Buildings, v. 278 (Januar 2023).
- (2022): Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization. In: Energy and Buildings, v. 270 (September 2022).
- (2022): The effects of a mismatch between thermal comfort modeling and HVAC controls from an occupancy perspective. In: Building and Environment, v. 220 (Juli 2022).
- (2022): Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec. In: Building and Environment, v. 207 (Januar 2022).
- (2021): Calibrating building energy simulation models: A review of the basics to guide future work. In: Energy and Buildings, v. 253 (Dezember 2021).
- (2021): Building occupancy forecasting: A systematical and critical review. In: Energy and Buildings, v. 251 (November 2021).
- (2021): Effects of ceiling fans on airborne transmission in an air-conditioned space. In: Building and Environment, v. 198 (Juli 2021).
- (2021): Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature. In: Energy and Buildings, v. 242 (Juli 2021).
- (2021): eplusr: A framework for integrating building energy simulation and data-driven analytics. In: Energy and Buildings, v. 237 (April 2021).
- (2020): Automated recognition and mapping of building management system (BMS) data points for building energy modeling (BEM). In: Building Simulation, v. 14, n. 1 (November 2020).
- (2016): Improving evolutionary algorithm performance for integer type multi-objective building system design optimization. In: Energy and Buildings, v. 127 (September 2016).
- (2017): Bayesian calibration of building energy models with large datasets. In: Energy and Buildings, v. 154 (November 2017).
- (2018): Guidelines for the Bayesian calibration of building energy models. In: Energy and Buildings, v. 174 (September 2018).
- (2019): Continuous-time Bayesian calibration of energy models using BIM and energy data. In: Energy and Buildings, v. 194 (Juli 2019).
- (2020): Generative adversarial network for fault detection diagnosis of chillers. In: Building and Environment, v. 172 (April 2020).
- (2017): Energy utilizability concept as a retrofitting solution selection criterion for buildings. In: Journal of Civil Engineering and Management, v. 23, n. 5 (Mai 2017).
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