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Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26520%2F00%3A63300021" target="_blank" >RIV/00216305:26520/00:63300021 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method

  • Original language description

    The paper concerns selection of mathematical statistical model for prediction of time series of Heat Supply Daily Diagram (HSDD). This forecast is utilized for control of technological process in real time. The solved prediction is specially determined for qualitative-quantitative method of hot-water piping heat output control Balátě system which enables to eliminate transport delay by the qualitative control only. The model according to BOX-JENKINS is used for calculation of time series prediction.

  • 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

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Soft Computing : Fuzzy Control - Theory and Practice

  • ISBN

    3-7908-1327-3

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    Physica-Verlag, A Springer-Verlag Company

  • Place of publication

    Physica-Verlag Heildelberg, Germany

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article