Intelligent Heating System: Simulation in NetLogo
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50015680" target="_blank" >RIV/62690094:18450/18:50015680 - isvavai.cz</a>
Výsledek na webu
<a href="http://docsdrive.com/pdfs/medwelljournals/jeasci/2018/7039-7044.pdf" target="_blank" >http://docsdrive.com/pdfs/medwelljournals/jeasci/2018/7039-7044.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3923/jeasci.2018.7039.7044" target="_blank" >10.3923/jeasci.2018.7039.7044</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Intelligent Heating System: Simulation in NetLogo
Popis výsledku v původním jazyce
We propose an agent-based model of smart home with intelligent heating system, i.e., a kind of computational laboratory for experimenting with smart solutions and ambient technologies. The model consists of four components simulating behavior of inhabitants, weather changes impacting the use of the heating system, heat transfer of the building, three control logics of the heating system which are non-intelligent thermostatic system, learning home a predictive system operating with the room occupancy matrices and attentive home-an adaptive predictive system which builds its own representation of the presence of individuals in rooms. The model is used to evaluate different scenarios of living in smart home with respect to two measures (user discomfort, heating costs). The model was implemented in NetLogo with IODA extension.
Název v anglickém jazyce
Intelligent Heating System: Simulation in NetLogo
Popis výsledku anglicky
We propose an agent-based model of smart home with intelligent heating system, i.e., a kind of computational laboratory for experimenting with smart solutions and ambient technologies. The model consists of four components simulating behavior of inhabitants, weather changes impacting the use of the heating system, heat transfer of the building, three control logics of the heating system which are non-intelligent thermostatic system, learning home a predictive system operating with the room occupancy matrices and attentive home-an adaptive predictive system which builds its own representation of the presence of individuals in rooms. The model is used to evaluate different scenarios of living in smart home with respect to two measures (user discomfort, heating costs). The model was implemented in NetLogo with IODA extension.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of engineering and applied sciences
ISSN
1816-949X
e-ISSN
—
Svazek periodika
13
Číslo periodika v rámci svazku
9
Stát vydavatele periodika
AE - Spojené arabské emiráty
Počet stran výsledku
6
Strana od-do
7039-7044
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85055923376