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Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method

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Fuzzy Control

Part of the book series: Advances in Soft Computing ((AINSC,volume 6))

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Abstract

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 — Baláte system which enables to eliminate transport delay by the qualitative control only. Importance of it is increased namely for controlled systems having great time constants and great transport delay. The model according to BOX-JENKINS is used for calculation of time series prediction. The credibility of the tested model is estimated from three points of view.

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References

  1. Box, G.E.P., Jenkins, G.M.: Time Series Analysis, Forecasting and Control. Holden Day, San Francisco (1976)

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  5. Baldte, J.: Design of Automated Control System of Centralized Heat Supply. PhSc Thesis. Faculty of Mechanical Engineering of TU Brno, Brno (1982)

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© 2000 Springer-Verlag Berlin Heidelberg

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Baláte, J., Chramcov, B. (2000). Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_21

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  • DOI: https://doi.org/10.1007/978-3-7908-1841-3_21

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1327-2

  • Online ISBN: 978-3-7908-1841-3

  • eBook Packages: Springer Book Archive

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