Adrian Chong

A learning-based model predictive control method for unlocking the potential of building energy flexibility

Personalized environmental control systems (PECS): A systematic review of performance evaluation methods for thermal comfort, air quality and energy

Thermal comfort in sight: Thermal affordance and its visual assessment for sustainable streetscape design

Ten questions concerning calibrating building energy simulation models

BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings

Machine Learning for Smart and Energy-Efficient Buildings

Energy flexibility quantification of a tropical net-zero office building using physically consistent neural network-based model predictive control

Microclimate spatio-temporal prediction using deep learning and land use data

Novel occupancy detection method based on convolutional neural network model using PIR sensor and smart meter data

Data-efficient comfort modeling: Active transfer learning for predicting personal thermal comfort using limited data

Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning

Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review

A hybrid active learning framework for personal thermal comfort models

Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context

Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review

Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy

Infrared thermography in the built environment: A multi-scale review

A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings

Improving energy flexibility and PV self-consumption for a tropical net zero energy office building

Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization

ROBOD, room-level occupancy and building operation dataset

Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence

Impact of occupant related data on identification and model predictive control for buildings

Calibrating building energy simulation models: A review of the basics to guide future work

Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective

Building occupancy forecasting: A systematical and critical review

Occupancy data at different spatial resolutions: Building energy performance and model calibration

Effects of ceiling fans on airborne transmission in an air-conditioned space

Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature

eplusr: A framework for integrating building energy simulation and data-driven analytics