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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F11%3A43865510%21RIV12-MSM-28140___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
Time series analysis and subsequent forecasting can be an important part of a process control system. By monitoring key process variables and using them to predict the future behavior of the process, it may be possible to determine the optimal time and extent of control action. We can find applications of this prediction also in the control of the Centralized Heat Supply System (CHSS), especially for the control of hot water piping heat output. Knowledge of heat demand is the base for input data for the operation preparation of CHSS. The course of heat demand can be demonstrated by means of the Daily Diagram of Heat Supply (DDHS) which demonstrates the course of requisite heat output during the day. This diagram is of essential importance for technical and economic considerations. The aim of paper is to give some background about analysis of time series of heat demand and identification of forecast model using Time series package which is integrated with the Wolfram Mathematica environment. The paper illustrates using this environment for designing the forecast model of heat demand in specific locality. Time series analysis and subsequent forecasting can be an important part of a process control system. By monitoring key process variables and using them to predict the future behavior of the process, it may be possible to determine the optimal time and extent of control action. We can find applications of this prediction also in the control of the Centralized Heat Supply System (CHSS), especially for the control of hot water piping heat output. Knowledge of heat demand is the base for input data for the operation preparation of CHSS. The course of heat demand can be demonstrated by means of the Daily Diagram of Heat Supply (DDHS) which demonstrates the course of requisite heat output during the day. This diagram is of essential importance for technical and economic considerations. The aim of paper is to give some background about analysis of time series of heat demand and identification of forecast model using Time series package which is integrated with the Wolfram Mathematica environment. The paper illustrates using this environment for designing the forecast model of heat demand in specific locality.
dcterms:title
Utilization of mathematica environment for designing the forecast model of heat demand Utilization of mathematica environment for designing the forecast model of heat demand
skos:prefLabel
Utilization of mathematica environment for designing the forecast model of heat demand Utilization of mathematica environment for designing the forecast model of heat demand
skos:notation
RIV/70883521:28140/11:43865510!RIV12-MSM-28140___
n9:predkladatel
n14:orjk%3A28140
n4:aktivita
n15:P n15:Z
n4:aktivity
P(2C06007), P(ED2.1.00/03.0089), Z(MSM7088352102)
n4:cisloPeriodika
1
n4:dodaniDat
n5:2012
n4:domaciTvurceVysledku
n8:6177298
n4:druhVysledku
n16:J
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
237568
n4:idVysledku
RIV/70883521:28140/11:43865510
n4:jazykVysledku
n13:eng
n4:klicovaSlova
Box-jenkins,Control algorithms,District heating control,Modeling,Prediction,Time series analysis
n4:klicoveSlovo
n12:Control%20algorithms n12:Time%20series%20analysis n12:Prediction n12:District%20heating%20control n12:Box-jenkins n12:Modeling
n4:kodStatuVydavatele
GR - Řecká republika
n4:kontrolniKodProRIV
[C9FDCF722EEC]
n4:nazevZdroje
WSEAS Transactions on Heat and Mass Transfer
n4:obor
n17:JE
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n10:ED2.1.00%2F03.0089 n10:2C06007
n4:rokUplatneniVysledku
n5:2011
n4:svazekPeriodika
6
n4:tvurceVysledku
Chramcov, Bronislav
n4:zamer
n20:MSM7088352102
s:issn
1790-5044
s:numberOfPages
10
n11:organizacniJednotka
28140