IEL’s first PhD student has graduated today!!! We congratulate Dr Park for successfully defending his thesis Occupant-Centric Building Control: Balancing Occupant Comfort and Energy Efficiency. We are excited and wish him good luck for his new position as faculty at UT Arlington.
Abstract: For occupant behavior-based controls, I focused on Reinforcement Learning (RL) based OCCs for lighting (LightLearn) and thermostat (HVACLearn) controls. RL is a machine learning technique in which the learning agent interacts with its environment and uses feedback from the environment to determine the best possible action given the current state. Due to its interactive learning characteristic, RL-OCC is suitable to identify the complex dynamics of human-building interactions. For example, LightLearn and HVACLearn both monitor how people use their light switch and thermostat with associated indoor environment measurements. Then the algorithms calculate adaptive and personalized set-points to operate the lighting and HVAC systems. Results showed that RL-OCC learns about occupants and indoor environments adaptively and balance between occupant comfort and energy efficiency successfully when compared to conventional control strategies.
Here is the link to the presentation recording: https://youtu.be/Wvo_G15L6HQ
Thanks to videoconferencing, over 70 people could join the defense. Here is a map from this international audience: