Overview of cyber-physical temperature estimation in smart buildings: From modeling to measurements

Published

Conference Paper

© 2016 IEEE. 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.

Full Text

Duke Authors

Cited Authors

  • Chen, X; Li, X; Tan, SXD

Published Date

  • September 6, 2016

Published In

Volume / Issue

  • 2016-September /

Start / End Page

  • 251 - 256

International Standard Serial Number (ISSN)

  • 0743-166X

International Standard Book Number 13 (ISBN-13)

  • 9781467399555

Digital Object Identifier (DOI)

  • 10.1109/INFCOMW.2016.7562081

Citation Source

  • Scopus