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

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>

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
—

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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

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