Multi-zone temperature prediction in a commercial building using artificial neural network model

Hao Huang, Lei Chen, Morteza Mohammadzaheri, Eric Hu, Minlei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

Predicting temperature in buildings equiped with Heating, ventilation and air-conditioning (HVAC) systems is a crucial step to take when implementing a model predictive control (MPC). This prediction is also challenging because the buildings themselves are nonlinear, have many uncertainties and strongly coupled. Artificial neural networks (ANNs) have been used in previous studies to solve such a modeling problem. Unlike most of the studies that have only considered small-scale, single zone modeling task, this paper presents a novel ANN modeling method for the modeling inside a real world multi-zone building. By comparing ANN models with different input variables, it was found that the prediction accuracies can be greatly improved when the thermal interactions were considered. The proposed models were used to perform both single-zone and multi-zone temperature prediction and achieved very good accuracies.

Original languageEnglish
Title of host publication2013 10th IEEE International Conference on Control and Automation, ICCA 2013
Pages1896-1901
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 10th IEEE International Conference on Control and Automation, ICCA 2013 - Hangzhou, China
Duration: Jun 12 2013Jun 14 2013

Other

Other2013 10th IEEE International Conference on Control and Automation, ICCA 2013
CountryChina
CityHangzhou
Period6/12/136/14/13

Keywords

  • Artificial neural network
  • HVAC
  • Model predictive control
  • Multi-zone

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Huang, H., Chen, L., Mohammadzaheri, M., Hu, E., & Chen, M. (2013). Multi-zone temperature prediction in a commercial building using artificial neural network model. In 2013 10th IEEE International Conference on Control and Automation, ICCA 2013 (pp. 1896-1901). [6565010] https://doi.org/10.1109/ICCA.2013.6565010