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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A63508977%21RIV11-MSM-28140___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
In order to improve the control level of district-heating systems, it is necessary for the energy companies to have reliable optimization routines, implemented in their organizations. However, before a plan of heat production, a prediction of the heat demand first needs to be determined. Forecast of this heat demand course is significant for short-term and long-term planning of heat production. This forecast is most important for technical and economic consideration. In this paper we propose the forecast model of heat demand based on the Box-Jenkins methodology. The model is based on the assumption that the course of DDHD can be described sufficiently well as a function of the outdoor temperature and the weather independent component (social components). Time of the day affects the social components. The time dependence of the load reflects the existence of a daily heat demand pattern, which may vary for different week days and seasons. Forecast of social component is realized by means of Box-Jenkins In order to improve the control level of district-heating systems, it is necessary for the energy companies to have reliable optimization routines, implemented in their organizations. However, before a plan of heat production, a prediction of the heat demand first needs to be determined. Forecast of this heat demand course is significant for short-term and long-term planning of heat production. This forecast is most important for technical and economic consideration. In this paper we propose the forecast model of heat demand based on the Box-Jenkins methodology. The model is based on the assumption that the course of DDHD can be described sufficiently well as a function of the outdoor temperature and the weather independent component (social components). Time of the day affects the social components. The time dependence of the load reflects the existence of a daily heat demand pattern, which may vary for different week days and seasons. Forecast of social component is realized by means of Box-Jenkins
dcterms:title
Forecast of heat demand according the Box-Jenkins methodology for specific locality Forecast of heat demand according the Box-Jenkins methodology for specific locality
skos:prefLabel
Forecast of heat demand according the Box-Jenkins methodology for specific locality Forecast of heat demand according the Box-Jenkins methodology for specific locality
skos:notation
RIV/70883521:28140/10:63508977!RIV11-MSM-28140___
n3:aktivita
n15:P n15:Z
n3:aktivity
P(2C06007), Z(MSM7088352102)
n3:dodaniDat
n14:2011
n3:domaciTvurceVysledku
n16:6177298
n3:druhVysledku
n9:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n22:predkladatel
n3:idSjednocenehoVysledku
259509
n3:idVysledku
RIV/70883521:28140/10:63508977
n3:jazykVysledku
n10:eng
n3:klicovaSlova
Prediction; District Heating Control; Box-Jenkins; Control algorithms; Time series analysis
n3:klicoveSlovo
n6:Time%20series%20analysis n6:Box-Jenkins n6:Control%20algorithms n6:Prediction n6:District%20Heating%20Control
n3:kontrolniKodProRIV
[87D4403822C7]
n3:mistoKonaniAkce
Corfu Island, Greece
n3:mistoVydani
Rhodes
n3:nazevZdroje
Latest Trends on Systems (Volume I)
n3:obor
n20:JE
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n5:2C06007
n3:rokUplatneniVysledku
n14:2010
n3:tvurceVysledku
Chramcov, Bronislav
n3:typAkce
n4:WRD
n3:zahajeniAkce
2010-01-01+01:00
n3:zamer
n11:MSM7088352102
s:numberOfPages
5
n21:hasPublisher
WSEAS Press (GR)
n17:isbn
978-960-474-199-1
n19:organizacniJednotka
28140