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  • 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 (en)
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 (en)
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 (en)
skos:notation
  • RIV/70883521:28140/10:63508977!RIV11-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2C06007), Z(MSM7088352102)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 259509
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/10:63508977
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Prediction; District Heating Control; Box-Jenkins; Control algorithms; Time series analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [87D4403822C7]
http://linked.open...v/mistoKonaniAkce
  • Corfu Island, Greece
http://linked.open...i/riv/mistoVydani
  • Rhodes
http://linked.open...i/riv/nazevZdroje
  • Latest Trends on Systems (Volume I)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Chramcov, Bronislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS Press (GR)
https://schema.org/isbn
  • 978-960-474-199-1
http://localhost/t...ganizacniJednotka
  • 28140
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