. . . . "Forecast of heat demand according the Box-Jenkins methodology for specific locality" . "Chramcov, Bronislav" . "Prediction; District Heating Control; Box-Jenkins; Control algorithms; Time series analysis"@en . . . . . . "RIV/70883521:28140/10:63508977" . "[87D4403822C7]" . . "5"^^ . "Forecast of heat demand according the Box-Jenkins methodology for specific locality" . . "Corfu Island, Greece" . . "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 . "259509" . . . "Rhodes" . "1"^^ . "978-960-474-199-1" . . "28140" . "1"^^ . "Forecast of heat demand according the Box-Jenkins methodology for specific locality"@en . "P(2C06007), Z(MSM7088352102)" . "Forecast of heat demand according the Box-Jenkins methodology for specific locality"@en . "2010-01-01+01:00"^^ . . "Latest Trends on Systems (Volume I)" . . "WSEAS Press (GR)" . . "RIV/70883521:28140/10:63508977!RIV11-MSM-28140___" . . . "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" .