An adaptive algorithm of hybrid optimization method for strategic control of water reservoir with using support vector machines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU119583" target="_blank" >RIV/00216305:26110/16:PU119583 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/SGEM2016/B31/S12.008" target="_blank" >http://dx.doi.org/10.5593/SGEM2016/B31/S12.008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/SGEM2016/B31/S12.008" target="_blank" >10.5593/SGEM2016/B31/S12.008</a>
Alternative languages
Result language
angličtina
Original language name
An adaptive algorithm of hybrid optimization method for strategic control of water reservoir with using support vector machines
Original language description
The aim of strategic control is the effort to achieve optimal water outflow from reservoir. Classic strategic control of water reservoirs are based mainly on the rules and rules curves, which are created by generalization of historical data of water inflows to the reservoirs and water outflow. Discharge series are changing in the time due to expected climate change. It is necessary to looking for intelligent water outflow control, which will allow to react on these hydrological changes and contribute to the efficient use of accumulated water for ensure water demand. The paper will describe the algorithm based on adaptive control. The normal adaptive control required knowledge of the water flow medium-term prediction into the reservoir. The created algorithm of intelligent control does not require knowledge of hydrological predictions. This control method is based on a suitable combination optimization method with the Support vector machines method. The control algorithm is one of the possible measures to mitigate the negative impacts of droughts and water scarcity. The algorithm of hybrid optimization method for strategic control of water reservoir will be detail describe in this paper.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DA - Hydrology and limnology
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SGEM Conference Proceedings
ISBN
978-619-7105-61-2
ISSN
1314-2704
e-ISSN
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Number of pages
7
Pages from-to
55-61
Publisher name
STEF92 Technology Ltd.
Place of publication
51 Alexander Malinov Blvd., 1712, Sofia, Bulgari
Event location
Albena
Event date
Jun 30, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391653400008