Publication detail

HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

KOZEL, T. STARÝ, M.

Original Title

HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

Type

conference paper

Language

English

Original Abstract

Content of article is construction and application of forecasting model for managed large open water reservoir with supply function. Model is based on neural networks (NS) and zone models, which forecasting values of average monthly flow from inputs values of average monthly flow, learned neural network and random numbers. Part of data was sorted to one moving zone.

Keywords

average monthly flow, neural networks, reservoir

Authors

KOZEL, T.; STARÝ, M.

Released

9. 9. 2017

Publisher

IOP Conference Series: Earth and Environmental Science

ISBN

1755-1315

Periodical

IOP Conference Series: Earth and Environmental Science

Year of study

95, 2017

Number

95

State

United Kingdom of Great Britain and Northern Ireland

Pages from

81

Pages to

87

Pages count

6

URL

http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022003/meta

BibTex

@inproceedings{BUT143242,
  author="Tomáš {Kozel} and Miloš {Starý}",
  title="HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION",
  booktitle="
IOP Conference Series: Earth and Environmental Science, Volume 95",
  year="2017",
  journal="IOP Conference Series: Earth and Environmental Science",
  volume="95, 2017",
  number="95",
  pages="81--87",
  publisher="IOP Conference Series: Earth and Environmental Science",
  doi="10.1088/1755-1315/95/2/022003",
  issn="1755-1315",
  url="http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022003/meta"
}