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