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
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Czech description
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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
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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
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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
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