Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory

Simeng Liu, Gregor P. Henze
2006 Energy and Buildings  
This paper is the first part of a two-part investigation of a novel approach to optimally control commercial building passive and active thermal storage inventory. The proposed building control approach is based on simulated reinforcement learning, which is a hybrid control scheme that combines features of model-based optimal control and model-free learning control. An experimental study was carried out to analyze the performance of a hybrid controller installed in a full-scale laboratory
more » ... ty. The first part presents an overview of the project with an emphasis on the theoretical foundation. The motivation of the research will be introduced first, followed by a review of past work. A brief introduction of the theory is provided including classic reinforcement learning and its variation, so-called simulated reinforcement learning, which constitutes the basic architecture of the hybrid learning controller. A detailed discussion of the experimental results will be presented in the companion paper. #
doi:10.1016/j.enbuild.2005.06.002 fatcat:3tov6ao2aff35jdbjur2276c6q