Adrian Chong

Assistant Professor

National University of Singapore (NUS)

Singapore

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Professors in Energy Engineering

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Articles (16)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (9)

Siu-Kit Lau

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Andrew Busch

Griffith University

AUSTRALIA

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Vasantha Ramani

EPFL

SWITZERLAND

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Clayton Miller

Assistant Professor

National University of Singapore (NUS)

SINGAPORE

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Steve Kardinal Jusuf

Associate Professor

Singapore Institute of Technology

SINGAPORE

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Kwok Wai Tham

Professor

National University of Singapore (NUS)

SINGAPORE

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Miguel Martin

Delft University of Technology

NETHERLANDS

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Yuzhen Peng

ETH Zürich

SWITZERLAND

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HEE JOO POH

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Adrian Chong

Research Interests

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Articles (16)

Impact of building porosity on exterior convective heat transfer coefficients: An experimental and computational parametric study

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

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

Evaluating the sensitivity and robustness of occupancy models for building energy simulation during design

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

Experimental assessment of thermal and acoustics interactions on occupant comfort in mixed-mode buildings

Transient transmission of droplets and aerosols in a ventilation system with ceiling fans

A hybrid active learning framework for personal thermal comfort models

Quantifying the effects of different data streams on the calibration of building energy simulation

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

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

District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images

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

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

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

Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants

Collaborators (9)

Siu-Kit Lau

Andrew Busch

Vasantha Ramani

Clayton Miller

Steve Kardinal Jusuf

Kwok Wai Tham

Miguel Martin

Yuzhen Peng

HEE JOO POH

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