Publication detail

Hybrid Optimization Method for Strategic Control of Water Withdrawal from Water Reservoir with Using Support Vector Machines

MENŠÍK, P. MARTON, D.

Original Title

Hybrid Optimization Method for Strategic Control of Water Withdrawal from Water Reservoir with Using Support Vector Machines

Type

journal article in Web of Science

Language

English

Original Abstract

The aim of strategic control is the effort to achieve optimal water resource management (water reservoir). Classic strategic control of water withdrawal from water reservoir 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 demand. Discharge series are changing in the time due to expected climate change. It is necessary to looking for intelligent water withdrawal 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 water withdrawal 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 adaptive control is applied to the control of water withdrawal from selected single-reservoir. The results are compared with usual rules for water withdrawal control.

Keywords

Adaptive; Evolution Algorithms; Operative Control; Reservoir; Strategic Control; Optimization; Support Vector Machines; Water Demand; Water Resource; Water Withdrawal

Authors

MENŠÍK, P.; MARTON, D.

Released

9. 5. 2017

Publisher

Elsevier Science Publishers

Location

Amsterdam

ISBN

1877-7058

Periodical

Procedia Engineering

Year of study

2017

Number

186

State

Kingdom of the Netherlands

Pages from

491

Pages to

498

Pages count

8

URL

http://www.sciencedirect.com/science/article/pii/S1877705817314145

Full text in the Digital Library

http://hdl.handle.net/11012/69369

BibTex

@article{BUT135393,
  author="Pavel {Menšík} and Daniel {Marton}",
  title="Hybrid Optimization Method for Strategic Control of Water Withdrawal from Water Reservoir with Using Support Vector Machines",
  journal="Procedia Engineering",
  year="2017",
  volume="2017",
  number="186",
  pages="491--498",
  doi="10.1016/j.proeng.2017.03.261",
  issn="1877-7058",
  url="http://www.sciencedirect.com/science/article/pii/S1877705817314145"
}