Application of artificial neural network to predict the optimal start time for heating system in building

In Ho Yang, Myoung Souk Yeo, Kwang Woo Kim

Research output: Contribution to journalArticlepeer-review

194 Scopus citations

Abstract

The artificial neural network (ANN) approach is a generic technique for mapping non-linear relationships between inputs and outputs without knowing the details of these relationships. This paper presents an application of the ANN in a building control system. The objective of this study is to develop an optimized ANN model to determine the optimal start time for a heating system in a building. For this, programs for predicting the room air temperature and the learning of the ANN model based on back propagation learning were developed, and learning data for various building conditions were collected through program simulation for predicting the room air temperature using systems of experimental design. Then, the optimized ANN model was presented through learning of the ANN, and its performance to determine the optimal start time was evaluated.

Original languageEnglish
Pages (from-to)2791-2809
Number of pages19
JournalEnergy Conversion and Management
Volume44
Issue number17
DOIs
StatePublished - Oct 2003

Keywords

  • Artificial neural network
  • Heating system
  • HVAC
  • Optimal start time

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