Using Predictive Models of Mean Monthly Flows for Operative Outflows Control from Large Open Reservoirs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F14%3APU109506" target="_blank" >RIV/00216305:26110/14:PU109506 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Predictive Models of Mean Monthly Flows for Operative Outflows Control from Large Open Reservoirs
Original language description
Conventional storage reservoir operations are mostly based on rules or rule curves. Both are built up on generalization of past water inflows represented by historical time series. Flow series are changing in the time of expected climate change. It is important to find a new intelligent operation methods of outflows from large open water reservoirs that would be allow to respond on undetermined conditions during climate change. The paper describes algorithm which has been created on idea of adaptive control theory. The adaptive control approach uses repeatedly generated medium-term water flow predictions on a several months ahead as inflows into the large open reservoirs. Values of control outflows are searched by evolution algorithm optimization methods. The objective function is descripted as the sum of squares deviations between required and actual controlled water outflow from open reservoir where objective function is minimized. Principles of the several predictive models of avera
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.30.0039" target="_blank" >EE2.3.30.0039: Excellent young researcher at BUT</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings ITISE 2014, International work-conference on Time Series
ISBN
978-84-15814-97-9
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
382-395
Publisher name
Copicentro Granada S.L
Place of publication
Spain, Granada
Event location
Granada
Event date
Jun 25, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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