DECISION MAKING SUPPORT SYSTEM WITH ADAPTIVE UNITS OF RESTORING AND FORECASTING OF SOLAR RADIO FLUXES

Authors

  • O. V. Bratus National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2017-3-4

Keywords:

Moving two-sided exponential smoothing method, restoring of missed time series values, restoring of the true regularities of time Series, decision making support system, integral criterion of model adequacy, proximity criterion, solar radio fluxes at a wavelength of 10.7 cm.

Abstract

Context. Creation of new methods for solar data restoring and forecasting, new decision making support systems for processing of solar radio fluxes at a wavelength of 10.7 cm are topical problems, because it will give an opportunity to perform preliminary data processing and further forecasting correctly and automated.

Objective. To develop moving two-sided exponential smoothing method for restoring of missed values and forecasting of time series; to create integral criterion of model adequacy and the proximity criterion for using for restoring of the true regularities of time series evolution; to develop decision making support system for analysis and forecasting of solar radio fluxes at a wavelength of 10.7 cm with using of developed methods; to apply developed methods for real data and to compare with traditional methods.

Method. For achieving of formulated goal the following methods were used: developed moving two-sided exponential smoothing method; exponential smoothing method; 13-month running mean method; exponential approach, which was suggested by Hathaway, Wilson and Reichmann.

Results. Moving two-sided exponential smoothing method for restoring of missed values of time series and for forecasting of time series was developed. The integral criterion of model adequacy and the proximity criterion were created. Decision making support system for analysis and forecasting of solar data was developed. Practical application of developed methods for real data and comparison with traditional methods were performed.

Conclusions. Developed moving two-sided exponential smoothing method is shown superiority in comparison with all traditional methods in the restoring of missed values, true regularities and forecasting of solar radio fluxes.

Author Biography

O. V. Bratus, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Applicant for PhD degree of technical sciences

References

Hathaway D. H., Wilson R. M., Reichmann E. J. The shape of the sunspot cycle, Solar Physics, 1994, Vol. 151, No. 1, pp. 177–190. DOI: 10.1007/BF00654090.

Hathaway D. H., Wilson R. M, Reichmann E. J. A synthesis of solar cycle prediction techniques, Journal of Geophysical Research, 1999, Vol. 104, No. А10, pp. 22375–22388. DOI:10.1029/1999JA900313.

Salvador R. J. A mathematical model of the sunspot cycle for the past 1000 yr, Pattern recognition in physics, 2013, Vol. 1, No. 1, pp. 117–122. DOI: 10.5194/prp-1-117-2013.

Kiyan M. A., Fabricheva O. V., Podladchikov V. M. Primenenija algoritmov sglazhivanija dlja predvaritel’noj obrabotki statisticheskih solnechnyh dannyh, Systemni doslidzhennja ta informacijni tehnologii’, No. 2, Kyiv, 2014, pp. 68–76 [in Russian].

Noble P. L., Wheatland M. S. A Bayesian Approach to Forecasting Solar Cycles Using a Fokker–Planck Equation, Solar Physics, 2012, Vol. 276, No. 1, pp. 363–381. DOI: 10.1007/s11207-011-9884-5.

Bratus O. V., Podladchikov V. M., Podladchikova T. V. Metod kovznogo dvobichnogo eksponencijnogo zgladzhuvannja dlja vidnovlennja zakonomirnostej dynamichnyh procesiv, Matematychne ta imitacijne modeljuvannja system. MODS 2016: Odynadcjata mizhnarodna naukovo-praktychna konferencija: tezy dopovidej. Chernihiv, Ukraine: CNUT, 2016, pp. 28–31 [in Ukrainian].

Pankratova N. D., Podladchikova T. V., Strelkov D. G., Quasioptimal smoothing as a tool for the analysis of complex semistructured dynamic processes, Cybernetics and Systems Analysis, 2009, Vol. 45, No. 6, pp. 916–923. DOI:10.1007/s10559-009-9176-3.

Tsay R. S. Analysis of Financial Time Series. New York: John Wiley & Sons, Inc., 2010, 715 p.

Official site of the Space Weather Prediction Center of the National Oceanic and Atmospheric Administration of the USA [Electronic resource]. Available at: ftp://ftp.swpc.noaa.gov/pub/weekly/RecentIndices.txt

Biduyk P. I., Korshevnyuk L. O. Proektuvannja komp’juternyh informacijnyh system pidtrymky pryjnjattja rishen’. Kyiv, Ukraine: ESC “IASA” NTUU “KPI”, 2010, 340 p. [in Ukrainian].

Hurst J. M. The Profit Magic of Stock Transaction Timing. Englewood Cliffs: Prentice-Hall, Inc., 1970, 224 p.

How to Cite

Bratus, O. V. (2017). DECISION MAKING SUPPORT SYSTEM WITH ADAPTIVE UNITS OF RESTORING AND FORECASTING OF SOLAR RADIO FLUXES. Radio Electronics, Computer Science, Control, (3), 36–43. https://doi.org/10.15588/1607-3274-2017-3-4

Issue

Section

Mathematical and computer modelling