Adrian Chong

Latest

• Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence
• Improving energy flexibility and PV self-consumption for a tropical net zero energy office building
• A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings
• Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants
• Infrared thermography in the built environment: A multi-scale review
• Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization
• Impact of occupant related data on identification and model predictive control for buildings
• The effects of a mismatch between thermal comfort modeling and HVAC controls from an occupancy perspective
• Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec
• A study on the transferability of computational models of building electricity load patterns across climatic zones
• Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
• Occupancy data at different spatial resolutions: building energy performance and model calibration
• Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature
• Effects of ceiling fans on airborne transmission in an air-conditioned space
• Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review
• Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking
• A framework for the continuous Bayesian calibration of building energy models
• A new BIM to BEM framework: The development and verification of an open-source gbXML to EnergyPlus translator for supporting building life cycle performance analysis
• A robust unsupervised framework for high-resolution building energy consumption profiling
• Continuous-time Bayesian calibration of energy models using BIM and energy data
• Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
• A Deep Reinforcement Learning Approach to Using Whole Building Energy Model For HVAC Optimal Control
• Green and cool roofs’ urban heat island mitigation potential in tropical climate
• Guidelines for the Bayesian calibration of building energy models
• A comparison of MCMC algorithms for the Bayesian calibration of building energy models
• Bayesian calibration of building energy models with large datasets
• Energy utilizability concept as a retrofitting solution selection criterion for buildings
• Improving evolutionary algorithm performance for integer type multi-objective building system design optimization
• Imputation of missing values in building sensor data
• Multi-objective optimization of building envelope, lighting and HVAC system designs
• Uncertainty analysis and parameter estimation of HVAC systems in building energy models
• Uncertainty analysis in building energy simulation: A practical approach
• Performance evaluation of misting fans in hot and humid climate