Publications

(2023). Improving energy flexibility and PV self-consumption for a tropical net zero energy office building. Energy and Buildings.

PDF DOI

(2023). Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence. Energy and Buildings.

PDF DOI

(2022). ROBOD, room-level occupancy and building operation dataset. Building Simulation.

PDF DOI

(2022). Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy. Building and Environment.

PDF DOI

(2022). Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants. Applied Energy.

DOI

(2022). A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings. Applied Energy.

PDF DOI

(2022). Infrared thermography in the built environment: A multi-scale review. Renewable and Sustainable Energy Reviews.

DOI

(2022). The effects of a mismatch between thermal comfort modeling and HVAC controls from an occupancy perspective. Building and Environment.

PDF DOI

(2022). Impact of occupant related data on identification and model predictive control for buildings. Applied Energy.

PDF DOI

(2022). Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization. Energy and Buildings.

DOI

(2022). Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec. Building and Environment.

DOI

(2021). Calibrating building energy simulation models: A review of the basics to guide future work. Energy and Buildings.

PDF DOI

(2021). Quantifying the effectiveness of desk dividers in reducing droplet and airborne virus transmission. Indoor Air.

PDF DOI

(2021). Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach. Energy and Buildings.

DOI

(2021). Building occupancy forecasting: A systematical and critical review. Energy and Buildings.

DOI

(2021). A study on the transferability of computational models of building electricity load patterns across climatic zones. Energy and Buildings.

DOI

(2021). Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective. Renewable and Sustainable Energy Reviews.

PDF DOI

(2021). Occupancy data at different spatial resolutions: building energy performance and model calibration. Applied Energy.

PDF DOI

(2021). eplusr: A framework for integrating building energy simulation and data-driven analytics. Energy and Buildings.

PDF DOI

(2021). Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review. Applied Energy.

DOI

(2021). Effects of ceiling fans on airborne transmission in an air-conditioned space. Building and Environment.

PDF DOI

(2021). Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature. Energy and Buildings.

PDF DOI

(2020). Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking. Applied Energy.

PDF DOI

(2019). A framework for the continuous Bayesian calibration of building energy models. Proceedings of the 17th IBPSA Building Simulation Conference.

PDF

(2019). A robust unsupervised framework for high-resolution building energy consumption profiling. Proceedings of the 17th IBPSA Building Simulation Conference.

PDF

(2019). 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. Proceedings of the 17th IBPSA Building Simulation Conference.

PDF

(2019). Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning. Energy and Buildings.

PDF DOI

(2019). Continuous-time Bayesian calibration of energy models using BIM and energy data. Energy and Buildings.

PDF DOI

(2018). Guidelines for the Bayesian calibration of building energy models. Energy and Buildings.

PDF DOI

(2018). Green and cool roofs’ urban heat island mitigation potential in tropical climate. Solar Energy.

PDF DOI

(2018). A Deep Reinforcement Learning Approach to Using Whole Building Energy Model For HVAC Optimal Control. ASHRAE and IBPSA-USA SimBuild Building Performance Modeling Conference.

PDF

(2017). Energy utilizability concept as a retrofitting solution selection criterion for buildings. Journal of Civil Engineering and Management.

PDF DOI

(2017). Bayesian calibration of building energy models with large datasets. Energy and Buildings.

PDF DOI

(2017). A comparison of MCMC algorithms for the Bayesian calibration of building energy models. Proceedings of the 15th IBPSA Building Simulation Conference.

PDF

(2016). Multi-objective optimization of building envelope, lighting and HVAC system designs. ASHRAE and IBPSA-USA SimBuild Building Performance Modeling Conference.

PDF

(2016). Imputation of missing values in building sensor data. ASHRAE and IBPSA-USA SimBuild Building Performance Modeling Conference.

PDF

(2016). Improving evolutionary algorithm performance for integer type multi-objective building system design optimization. Energy and Buildings.

PDF DOI

(2015). Uncertainty analysis in building energy simulation: A practical approach. Proceedings of the 14th IBPSA Building Simulation Conference.

PDF

(2015). Uncertainty analysis and parameter estimation of HVAC systems in building energy models. Proceedings of the 14th IBPSA Building Simulation Conference.

PDF

(2013). Predicting the envelope performance of commercial office buildings in Singapore. Energy and Buildings.

PDF DOI

(2010). Performance evaluation of misting fans in hot and humid climate. Building and Environment.

PDF DOI