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Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43869055" target="_blank" >RIV/70883521:28140/12:43869055 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Design of a Model for Heat Demand Prediction Using the Neural Network Synthesis

  • Original language description

    This paper deals with design 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. In this paperwe 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). Forecast of socialcomponent is realized by means of Box-Jenkins methodology. For inclusion of outdoor temperature influence in calculation of prediction of heat demand is used the heating characteristic (function that describes the temperature-dependent part of heat consumption). The principal aim is to derive an explicit expression for the heating characteristics. The Neural Network Synthesis is used for optimal finding of the expression.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

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

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 6th International Conference on Applied Mathematics, Simulation, Modelling

  • ISBN

    978-1-61804-076-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    86-91

  • Publisher name

    WSEAS Press (GR)

  • Place of publication

    Athens

  • Event location

    Athens

  • Event date

    Mar 7, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article