Neural Network Use for Gas Consumption Prediction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F99%3A0003322" target="_blank" >RIV/60461373:22340/99:0003322 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural Network Use for Gas Consumption Prediction

Original language description

Algorithms of linear and nonlinear signal prediction are fundamental in many information and control systems. General mathematical methods studied in this connection include estimation of autoregressive (AR) model order, evaluation of its coeffic ################################################################################################################################################################################################################################################# the simplificationof resulting models. This approach is based upon properties of an autocorrelation function, spectral analysis of individual time series and upon the use of selected statistical methods. A spec simultaneous time series. Proposed algorithms of such signalsprediction are verified for simulated sequences at first and then applied to gas consumption signals allowing to use temperature as a supporting

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

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

ISBN

80-227-1228-0

Place of publication

Bratislava, Slovakia

Publisher/client name

12th Conference Process Control '99

Version

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Carrier ID

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