Detail publikace

Using Predictive Model for Strategic Control of Multi-reservoir System Storage Capacity

MARTON, D. MENŠÍK, P. STARÝ, M.

Originální název

Using Predictive Model for Strategic Control of Multi-reservoir System Storage Capacity

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The paper will describe the algorithm based on adaptive optimization of multi reservoir control, which the medium-term water flow predictions into the reservoirs for several months ahead repeatedly use. Hydrological prediction model was created using ANN method and values of control outflows are searching by optimization based on evolutionary algorithms optimization technique. The objective function was descripted as the sum of squares deviations between required and actual controlled water outflow from reservoirs where objective function is minimized. The algorithm of adaptive control is applied to the operation storage control of selected reservoir system, which open water reservoirs Vir and Brno are created.

Klíčová slova

Multi-reservoir System; Active Storage Capacity; Strategy Control; Prediction Model; Adaptivity; Optimization; Artificial Neural Network

Autoři

MARTON, D.; MENŠÍK, P.; STARÝ, M.

Rok RIV

2015

Vydáno

2. 9. 2015

Nakladatel

Elsevier Science Publishers

Místo

Amsterdam

ISSN

1877-7058

Periodikum

Procedia Engineering

Ročník

2015

Číslo

119

Stát

Nizozemsko

Strany od

994

Strany do

1002

Strany počet

9

URL

http://www.sciencedirect.com/science/article/pii/S1877705815026612

Plný text v Digitální knihovně

http://hdl.handle.net/11012/69348

BibTex

@article{BUT116317,
  author="Daniel {Marton} and Pavel {Menšík} and Miloš {Starý}",
  title="Using Predictive Model for Strategic Control of Multi-reservoir System Storage Capacity",
  journal="Procedia Engineering",
  year="2015",
  volume="2015",
  number="119",
  pages="994--1002",
  doi="10.1016/j.proeng.2015.08.991",
  issn="1877-7058",
  url="http://www.sciencedirect.com/science/article/pii/S1877705815026612"
}