New Method for Accurate Prediction of CO2 in the Smart Home
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098253" target="_blank" >RIV/61989100:27240/16:86098253 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86098253
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7520562" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7520562</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/I2MTC.2016.7520562" target="_blank" >10.1109/I2MTC.2016.7520562</a>
Alternative languages
Result language
angličtina
Original language name
New Method for Accurate Prediction of CO2 in the Smart Home
Original language description
This article describes new method for accurate prediction of CO2 in the Smart Home calculated from the temperature and relative humidity in application of the decision tree regression method. The measured data are loaded from the individual BACnet technology sensors by means of the Desigo Insight visualization tool. The individual BACnet technology components are used to control the heating, cooling and ventilation in Smart Home. The measured temperature (T) and humidity (rH) values are then used as input parameters for prediction of CO2 content in the air of selected rooms in the Smart Home by application of decision tree regression. As described in the article, the method can determine the CO2 content with the accuracy of 46.25 ppm. The obtained information can be used for monitoring the residents' life activities, optimizing the technical service system for reduction of the building's operating costs or automation of its responses to changes of the environment or the residents' activities.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS
ISBN
978-1-4673-9220-4
ISSN
1091-5281
e-ISSN
—
Number of pages
5
Pages from-to
1333-1337
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Taipei
Event date
May 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000382523600234