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HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU126082" target="_blank" >RIV/00216305:26110/17:PU126082 - isvavai.cz</a>

  • Result on the web

    <a href="http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022003/meta" target="_blank" >http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022003/meta</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1755-1315/95/2/022003" target="_blank" >10.1088/1755-1315/95/2/022003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

  • Original language description

    Content of article is construction and application of forecasting model for managed large open water reservoir with supply function. Model is based on neural networks (NS) and zone models, which forecasting values of average monthly flow from inputs values of average monthly flow, learned neural network and random numbers. Part of data was sorted to one moving zone.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IOP Conference Series: Earth and Environmental Science, Volume 95

  • ISBN

  • ISSN

    1755-1315

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    81-87

  • Publisher name

    IOP Conference Series: Earth and Environmental Science

  • Place of publication

    Neuveden

  • Event location

    Praha

  • Event date

    Sep 10, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426768500003