Predictive System for Multivariate Time Series

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A00108731" target="_blank" >RIV/68407700:21230/05:00108731 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Predictive System for Multivariate Time Series

Popis výsledku v původním jazyce

Prediction is one of the tasks being solved by humans everyday. When encountering a complex and possibly dynamic domain containing a large number of possible dependencies, the predictive task can become too difficult to be solved by usual common sense reasoning. This article introduces Open Prediction System (OPS) - a system that helps to develop predictive models automatically. It represents a general predictive system applicable in a wide range of problem domains. The special attention is paid to thetasks of prediction in multivariate time series motivated by problems common for utility companies that distribute and control the transport of their applicable commodity. General issues of forecasting are discussed together with OPS predictive methodology implemented. Examples of case studies of such system are also included.

Název v anglickém jazyce

Predictive System for Multivariate Time Series

Popis výsledku anglicky

Prediction is one of the tasks being solved by humans everyday. When encountering a complex and possibly dynamic domain containing a large number of possible dependencies, the predictive task can become too difficult to be solved by usual common sense reasoning. This article introduces Open Prediction System (OPS) - a system that helps to develop predictive models automatically. It represents a general predictive system applicable in a wide range of problem domains. The special attention is paid to thetasks of prediction in multivariate time series motivated by problems common for utility companies that distribute and control the transport of their applicable commodity. General issues of forecasting are discussed together with OPS predictive methodology implemented. Examples of case studies of such system are also included.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název periodika

Automa

ISSN

1210-9592

e-ISSN

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Svazek periodika

12

Číslo periodika v rámci svazku

6 (SI)

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

3

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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