Using Predictive Models of Mean Monthly Flows for Operative Outflows Control from Large Open Reservoirs

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Using Predictive Models of Mean Monthly Flows for Operative Outflows Control from Large Open Reservoirs

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Using Predictive Models of Mean Monthly Flows for Operative Outflows Control from Large Open Reservoirs

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

—

Projekt

<a href="/cs/project/EE2.3.30.0039" target="_blank" >EE2.3.30.0039: Excelentní mladí vědci na VUT v Brně</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings ITISE 2014, International work-conference on Time Series

ISBN

978-84-15814-97-9

ISSN

—

e-ISSN

—

Počet stran výsledku

13

Strana od-do

382-395

Název nakladatele

Copicentro Granada S.L

Místo vydání

Spain, Granada

Místo konání akce

Granada

Datum konání akce

25. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—