Overview of cyber-physical temperature estimation in smart buildings: From modeling to measurements
Smart buildings are playing a more important role in everyday lives of people. One important goal of creating smart buildings is to offer highly comfortable services to the occupants at the lowest cost. In-building temperature modeling and measurement is a critical task to facilitate high-quality service with low cost. In this paper, we give an overview of state-of-the-art cyber-physical temperature estimation methods in smart buildings. For temperature modeling, by adopting an orthogonal matching pursuit algorithm, the modeling cost and accuracy can be both improved compared with the conventional least-squares fitting method. For temperature measurement, by combining temperature modeling with few sensor measurements using a Bayesian model fusion framework, the spatial temperature distribution can be accurately estimated.
