Forecast of heat demand according the Box-Jenkins methodology for specific locality

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508977" target="_blank" >RIV/70883521:28140/10:63508977 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Forecast of heat demand according the Box-Jenkins methodology for specific locality

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Forecast of heat demand according the Box-Jenkins methodology for specific locality

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

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Projekt

<a href="/cs/project/2C06007" target="_blank" >2C06007: Inteligentní systém pro řízení energetického systému městské aglomerace.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Latest Trends on Systems (Volume I)

ISBN

978-960-474-199-1

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

WSEAS Press (GR)

Místo vydání

Rhodes

Místo konání akce

Corfu Island, Greece

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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