Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26520%2F00%3A63300021" target="_blank" >RIV/00216305:26520/00:63300021 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method
Original language description
The paper concerns selection of mathematical statistical model for prediction of time series of Heat Supply Daily Diagram (HSDD). This forecast is utilized for control of technological process in real time. The solved prediction is specially determined for qualitative-quantitative method of hot-water piping heat output control Balátě system which enables to eliminate transport delay by the qualitative control only. The model according to BOX-JENKINS is used for calculation of time series prediction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Soft Computing : Fuzzy Control - Theory and Practice
ISBN
3-7908-1327-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
Physica-Verlag, A Springer-Verlag Company
Place of publication
Physica-Verlag Heildelberg, Germany
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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