Safe HVAC control via batch reinforcement learning

HY Liu, B Balaji, S Gao, R Gupta… - 2022 ACM/IEEE 13th …, 2022 - ieeexplore.ieee.org
Buildings account for 30% of energy use worldwide, and approxi-mately half of it is ascribed
to HVAC systems. Reinforcement Learning (RL) has improved upon traditional control …

Playground: A safe building operating system

X Fu, Y Liu, J Koh, D Hong, R Gupta… - 2024 ACM/IEEE 15th …, 2024 - ieeexplore.ieee.org
Building operating systems are an emerging class of system software that provides services
to applications running on commercial buildings. The current state-of-the-art requires …

Physics-Informed Data Denoising for Real-Life Sensing Systems

X Zhang, X Fu, D Teng, C Dong… - Proceedings of the 21st …, 2023 - dl.acm.org
Sensors measuring real-life physical processes are ubiquitous in today's interconnected
world. These sensors inherently bear noise that often adversely affects the performance and …

Demo Abstract: Playground, A Safe Building Operating System

X Fu, Y Liu, J Koh, D Hong, R Gupta… - 2024 ACM/IEEE 15th …, 2024 - ieeexplore.ieee.org
This is an accompanying demo of a main article with the same title co-presented at ICCPS24
[1]. An accompanying poster is also prepared to provide context during the demo. Building …

Policy Regularization in Model-Free Building Control via Comprehensive Approaches from Offline to Online Reinforcement Learning

HY Liu - 2024 - search.proquest.com
Reinforcement Learning (RL) has been extensively explored in building control, primarily
because the problems in this field can be effectively formulated as Markov Decision Process …

Unifying Physics and Semantics for Robust Sensor Time Series Analysis

X Zhang - 2024 - search.proquest.com
The past decade has witnessed a significant growth of deployed sensors in our daily life,
covering applications from healthcare, climate modeling to home automation and robotics …