. . . "RIV/70883521:28140/10:63508982!RIV11-MSM-28140___" . . . "261303" . . . . . . "4" . "Heat demand forecasting for concrete district heating system" . "1"^^ . "[55C38BFE0E64]" . "9"^^ . "Heat demand forecasting for concrete district heating system" . "GB - Spojen\u00E9 kr\u00E1lovstv\u00ED Velk\u00E9 Brit\u00E1nie a Severn\u00EDho Irska" . "28140" . "Heat demand forecasting for concrete district heating system"@en . "Chramcov, Bronislav" . . . "International Journal of Mathematical Models and Methods in Applied Science" . "RIV/70883521:28140/10:63508982" . "1"^^ . "Box-Jenkins; Control algorithms; District Heating Control; Prediction; Time series analysis."@en . . "This paper presents the results of an investigation of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. Weather forecasts are an important input to many heat demand forecasting models. In this paper we propose the forecast model of heat demand based on the assumption that the course of heat demand 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 methodology. We have studied half-hourly heat demand data, covering a three (four) month period in two concrete district heating systems (DHS) of the Czech Power and Hea"@en . . . . "P(2C06007), Z(MSM7088352102)" . "1998-0140" . . "This paper presents the results of an investigation of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. Weather forecasts are an important input to many heat demand forecasting models. In this paper we propose the forecast model of heat demand based on the assumption that the course of heat demand 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 methodology. We have studied half-hourly heat demand data, covering a three (four) month period in two concrete district heating systems (DHS) of the Czech Power and Hea" . . . "Heat demand forecasting for concrete district heating system"@en .