Online HVAC system modeling with BMS data using recurrent neural networks

E. Togashi, Shinichi Tanabe

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

    1 Citation (Scopus)

    Abstract

    This paper presents a method to develop and tune HVAC system models with BMS data using recurrent neural networks (RNN). To update RNN models automatically online, we eliminate ad hoc adjustment technique in three points. One is in selection of inputs variables. We propose a method of calculating the necessity of input variables with using connections' weights of neurons. Second is in the selection of hidden layers unit numbers. We introduce "Cross-validation" method and it gives criterion to evaluate parametric model. Last is in selection of training data. We apply cluster analysis to BMS data to evaluate scarcity of data. Proposed approaches are tested real measurements of actual buildings in Japan.

    Original languageEnglish
    Title of host publicationHB 2006 - Healthy Buildings: Creating a Healthy Indoor Environment for People, Proceedings
    Pages407-410
    Number of pages4
    Volume4
    Publication statusPublished - 2006
    EventHealthy Buildings: Creating a Healthy Indoor Environment for People, HB 2006 - Lisboa
    Duration: 2006 Jun 42006 Jun 8

    Other

    OtherHealthy Buildings: Creating a Healthy Indoor Environment for People, HB 2006
    CityLisboa
    Period06/6/406/6/8

    Fingerprint

    Online Systems
    Recurrent neural networks
    Neural Networks (Computer)
    Cluster analysis
    Neurons
    Cluster Analysis
    Japan
    Weights and Measures
    HVAC

    Keywords

    • BMS
    • Online modeling
    • Recurrent neural networks

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Building and Construction
    • Health, Toxicology and Mutagenesis

    Cite this

    Togashi, E., & Tanabe, S. (2006). Online HVAC system modeling with BMS data using recurrent neural networks. In HB 2006 - Healthy Buildings: Creating a Healthy Indoor Environment for People, Proceedings (Vol. 4, pp. 407-410)

    Online HVAC system modeling with BMS data using recurrent neural networks. / Togashi, E.; Tanabe, Shinichi.

    HB 2006 - Healthy Buildings: Creating a Healthy Indoor Environment for People, Proceedings. Vol. 4 2006. p. 407-410.

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

    Togashi, E & Tanabe, S 2006, Online HVAC system modeling with BMS data using recurrent neural networks. in HB 2006 - Healthy Buildings: Creating a Healthy Indoor Environment for People, Proceedings. vol. 4, pp. 407-410, Healthy Buildings: Creating a Healthy Indoor Environment for People, HB 2006, Lisboa, 06/6/4.
    Togashi E, Tanabe S. Online HVAC system modeling with BMS data using recurrent neural networks. In HB 2006 - Healthy Buildings: Creating a Healthy Indoor Environment for People, Proceedings. Vol. 4. 2006. p. 407-410
    Togashi, E. ; Tanabe, Shinichi. / Online HVAC system modeling with BMS data using recurrent neural networks. HB 2006 - Healthy Buildings: Creating a Healthy Indoor Environment for People, Proceedings. Vol. 4 2006. pp. 407-410
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