Publication

Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges

Publications associées (25)

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The presence of a ventilated air gap behind the external cladding in a building envelope is known to have a tangible contribution to the overall performance of the wall assembly. In the present study, the hydrodynamic and thermal performances of ventilated ...

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Optimal sensor placement for personal inhalation exposure detection in static and dynamic office environments

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Modern health and productivity concerns related to air pollutant exposure in buildings have sparked the need for occupant-centric monitoring and ventilation control. The existing personal exposure monitoring is often restricted to stationary air quality se ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

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Machine learning is often cited as a new paradigm in control theory, but is also often viewed as empirical and less intuitive for students than classical model-based methods. This is particularly the case for reinforcement learning, an approach that does n ...

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Housing, street and health: a new systemic research framework

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As the world’s population grows in cities, urban dwellers spend a large amount of time inside their home, making housing health ever more important. Critical for residents’ health, the interactions between indoor residential environments and outdoor enviro ...

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Human sitting behavior at office work and its effect on metabolic rate under varying thermal exposure

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Assessing and optimizing human indoor comfort is challenging as physiological, psychological, and environmental variables influence it. Therefore, it is crucial to understand variability of human physiological parameters and underlying mechanisms. Metaboli ...

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