Publication detail

An adaptive algorithm of hybrid optimization method for strategic control of water reservoir with using support vector machines

MENŠÍK, P. PASEKA, S. MARTON, D.

Original Title

An adaptive algorithm of hybrid optimization method for strategic control of water reservoir with using support vector machines

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Adaptive; Evolution Algorithms; Reservoir; Strategic Control; Support Vector Machines

Authors

MENŠÍK, P.; PASEKA, S.; MARTON, D.

Released

30. 6. 2016

Publisher

STEF92 Technology Ltd.

Location

51 Alexander Malinov Blvd., 1712, Sofia, Bulgaria

ISBN

978-619-7105-61-2

Book

SGEM Conference Proceedings

Edition

Hydrology and Water Resources

Edition number

1

ISBN

1314-2704

Periodical

International multidisciplinary geoconference SGEM

Year of study

16

Number

1

State

Republic of Bulgaria

Pages from

55

Pages to

61

Pages count

7

BibTex

@inproceedings{BUT126603,
  author="Pavel {Menšík} and Stanislav {Paseka} and Daniel {Marton}",
  title="An adaptive algorithm of hybrid optimization method for strategic control of water reservoir with using support vector machines",
  booktitle="SGEM Conference Proceedings",
  year="2016",
  series="Hydrology and Water Resources",
  journal="International multidisciplinary geoconference SGEM",
  volume="16",
  number="1",
  pages="55--61",
  publisher="STEF92 Technology Ltd.",
  address="51 Alexander Malinov Blvd., 1712, Sofia, Bulgaria",
  doi="10.5593/SGEM2016/B31/S12.008",
  isbn="978-619-7105-61-2",
  issn="1314-2704"
}