Building Modeling: Selection of the Most Appropriate Model for Predictive Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195257" target="_blank" >RIV/68407700:21230/12:00195257 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0378778812004446" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0378778812004446</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.enbuild.2012.08.040" target="_blank" >10.1016/j.enbuild.2012.08.040</a>
Alternative languages
Result language
angličtina
Original language name
Building Modeling: Selection of the Most Appropriate Model for Predictive Control
Original language description
Model Predictive Control has become a widespread solution in many industrial applications and is gaining ground in the field of energy management and automation systems of buildings. A model with reasonable prediction properties is an ultimate conditionfor good performance of the predictive controller. This paper presents an approach in which a model of a building is selected by an iterative two stage procedure. In the first stage, a minimum set of disturbance inputs is formed so that the resulting model is the best with respect to a defined quality criterion; then the second stage comprises addition of the states to obtain the final minimum set of states maximizing the model quality. The procedure stops when it makes no sense to select more complex model as it brings no more quality improvements. Statistical tests such as the likelihood ratio test, the tests based on cumulative periodogram, the two-sample Kolmogorov-Smirnov test as well as others (fit factor and coefficient of determ
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy and Buildings
ISSN
0378-7788
e-ISSN
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Volume of the periodical
55
Issue of the periodical within the volume
12
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
10
Pages from-to
341-350
UT code for WoS article
000313152400036
EID of the result in the Scopus database
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