Utilization of regression analysis to increase the control accuracy of dimmer lighting systems in the Smart Home

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098260" target="_blank" >RIV/61989100:27240/16:86098260 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S2405896316327100" target="_blank" >http://www.sciencedirect.com/science/article/pii/S2405896316327100</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2016.12.072" target="_blank" >10.1016/j.ifacol.2016.12.072</a>

Result language
angličtina
Original language name
Utilization of regression analysis to increase the control accuracy of dimmer lighting systems in the Smart Home
Original language description
The article deals with the possibilities of the use of regression analysis to process data acquired from sensors of the KNX control system used for operational measurement and the control of lighting systems in the individual rooms of the Smart Home and data from the measuring apparatus for long-term illuminance measurement in interior workplaces. The article compares data measured on 24/01/2016 and 30/01/2016 with an overcast and partly clear sky. The article verifies the possibility of using regression analysis to determine the correction curve for the input requirement for the constant lighting level of the KNX control system. (C) 2016
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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