Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning

no code implementations • 1 Feb 2023 • Xianzhong Ding, Alberto Cerpa, Wan Du

In this paper, we conduct a set of experiments to analyze the limitations of current MBRL-based HVAC control methods, in terms of model uncertainty and controller effectiveness.

reinforcement-learning Reinforcement Learning (RL)

Exploring Deep Reinforcement Learning for Holistic Smart Building Control

no code implementations • 27 Jan 2023 • Xianzhong Ding, Alberto Cerpa, Wan Du

The DRL architecture includes a novel reward function that allows the framework to explore the tradeoffs between energy use and users' comfort, while at the same time enabling the solution of the high-dimensional control problem due to the interactions of four different building subsystems.

reinforcement-learning Reinforcement Learning (RL)