STOCHASTIC MANAGEMENT OF THE OPEN LARGE WATER RESERVOIR WITH STORAGE FUNCTION WITH USING FUZZY LOGIC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU119728" target="_blank" >RIV/00216305:26110/16:PU119728 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5593/SGEM2016/B31/S12.110" target="_blank" >http://dx.doi.org/10.5593/SGEM2016/B31/S12.110</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/SGEM2016/B31/S12.110" target="_blank" >10.5593/SGEM2016/B31/S12.110</a>

Jazyk výsledku

angličtina

Název v původním jazyce

STOCHASTIC MANAGEMENT OF THE OPEN LARGE WATER RESERVOIR WITH STORAGE FUNCTION WITH USING FUZZY LOGIC

Popis výsledku v původním jazyce

Described models are used random forecasting period of flow line with different length. The length is shorter than 1 year. Forecasting period of flow line is transformed to line of managing discharges with same length as forecast. Adaptive managing is used only first value of line of discharges. Stochastic management is worked with dispersion of controlling discharge value. Main advantage stochastic management is fun of possibilities. In article is described construction and evaluation of adaptive stochastic model base on fuzzy logic. Models were used for stochastic management of open large water reservoir with storage function. The fuzzy model is used fuzzy logic as replacement of classic optimization algorithm. If model is given pattern matrix of management, matrix is given by model base on classic optimization algorithm, and forecast, controlling discharge value is computed by model for chosen probability of controlling discharge value. Model was tested and validated on made up large open water reservoir. Results were evaluated and were compared with model base on traditional algorithms. Evaluation was done for 100% forecast (forecasted values are real values) and for chosen probability of discharge. The management of the large open water reservoir with storage function was logically. The main advantage of fuzzy model is computing speed. Classical optimization model was needed much more time for same calculation as fuzzy model, therefore classic model was used parallel computing.

Název v anglickém jazyce

STOCHASTIC MANAGEMENT OF THE OPEN LARGE WATER RESERVOIR WITH STORAGE FUNCTION WITH USING FUZZY LOGIC

Popis výsledku anglicky

Described models are used random forecasting period of flow line with different length. The length is shorter than 1 year. Forecasting period of flow line is transformed to line of managing discharges with same length as forecast. Adaptive managing is used only first value of line of discharges. Stochastic management is worked with dispersion of controlling discharge value. Main advantage stochastic management is fun of possibilities. In article is described construction and evaluation of adaptive stochastic model base on fuzzy logic. Models were used for stochastic management of open large water reservoir with storage function. The fuzzy model is used fuzzy logic as replacement of classic optimization algorithm. If model is given pattern matrix of management, matrix is given by model base on classic optimization algorithm, and forecast, controlling discharge value is computed by model for chosen probability of controlling discharge value. Model was tested and validated on made up large open water reservoir. Results were evaluated and were compared with model base on traditional algorithms. Evaluation was done for 100% forecast (forecasted values are real values) and for chosen probability of discharge. The management of the large open water reservoir with storage function was logically. The main advantage of fuzzy model is computing speed. Classical optimization model was needed much more time for same calculation as fuzzy model, therefore classic model was used parallel computing.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

SGEM Conference Proceedingsc

ISBN

978-619-7105-61-2

ISSN

1314-2704

e-ISSN

—

Počet stran výsledku

6

Strana od-do

55-61

Název nakladatele

STEF92 Technology Ltd.

Místo vydání

51 Alexander Malinov Blvd., 1712, Sofia, Bulgari

Místo konání akce

Albena

Datum konání akce

30. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000391653400087