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Use of partial least squares within the control relevant identification for buildings

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00196180" target="_blank" >RIV/68407700:21230/13:00196180 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.conengprac.2012.09.017" target="_blank" >http://dx.doi.org/10.1016/j.conengprac.2012.09.017</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.conengprac.2012.09.017" target="_blank" >10.1016/j.conengprac.2012.09.017</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of partial least squares within the control relevant identification for buildings

  • Original language description

    Climate changes, diminishing world supplies of non-renewable fuels, as well as economic aspects are probably the most significant driving factors of the current effort to save energy. As buildings account for about 40% of global final energy use, efficient building climate control can significantly contribute to the saving effort. Predictive building automation can be used to operate buildings in an energy and cost effective manner with minimum retrofitting requirements. In such a predictive control approach, dynamic building models are of crucial importance for a good control performance. An algorithm which has not been used in building modeling yet, namely a combination of minimization of multi-step ahead prediction errors and partial least squares will be investigated. Subsequently, two case studies are presented: the first is an artificial model of a building constructed in Trnsys environment, while the second is a real-life case study. The proposed identification algorithm is then

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Control Engineering Practice

  • ISSN

    0967-0661

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    113-121

  • UT code for WoS article

    000311764200012

  • EID of the result in the Scopus database