Adaptive Management of the Storage Function for a Large Reservoir Using Learned Fuzzy Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU141542" target="_blank" >RIV/00216305:26110/21:PU141542 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1134/s0097807821040084" target="_blank" >http://dx.doi.org/10.1134/s0097807821040084</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1134/S0097807821040084" target="_blank" >10.1134/S0097807821040084</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Management of the Storage Function for a Large Reservoir Using Learned Fuzzy Models
Original language description
A single study investigates the possibility of using adaptive control of the reservoir Vranov Reservoir situated on the Dyje River. The control algorithm uses a fuzzy model that approximates the I/O relationships contained in the behaviour matrix of the target reservoir, constructed using the differential evolution optimisation method. Recurring predictions of water inflows into the reservoir are constructed using a fuzzy model, which is based on the idea of similarity of the course of a real series of average monthly flows during the year. After calibration of the control and predictive models, the whole control is tested for the period 2004-2018. The results obtained by the discussed models are compared with the results obtained by dispatching graphs. The results of adaptive control show that the method is very suitable for driving during long low-water periods. In periods with plentiful water, the results barely differ.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10501 - Hydrology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WATER RESOUR+
ISSN
0097-8078
e-ISSN
1608-344X
Volume of the periodical
48
Issue of the periodical within the volume
4
Country of publishing house
RU - RUSSIAN FEDERATION
Number of pages
12
Pages from-to
532-543
UT code for WoS article
000678071900007
EID of the result in the Scopus database
2-s2.0-85111918676