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Microsystems, Electronics and Acoustics
ISSN 2523-4447 · e‑ISSN 2523-4455 Open Access · CC BY-SA 4.0
Vol. 30 · Issue 1 · 2025 Feb 27, 2025 Electronic Systems and Signals

Prediction of the Time Distribution of Shannon and Renyi Entropy Based on the Theory of Moments

IS
Iehor V. Sedliarov Corresponding Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» [https://ror.org/00syn5v21] Ukraine
KK
Kateryna Serhiivna Klen Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» [https://ror.org/00syn5v21] Ukraine
Pages320821.1-320821.8 PublishedFeb 27, 2025
PDF (Ukrainian)
VOL 30 · ISS 1 · 2025 View issue

Abstract

The application of the theory of moments to distributed generation systems for the construction of a reducing and predicting polynomial of the time distribution of entropy changes in time at the base interval is proposed. It is shown that in order to improve the accuracy of forecasting, it is necessary to take into account the fractal nature of energy consumption processes and use Rényi entropy in calculations. By taking into account the fractal nature of the energy consumption process and the use of Rényi entropy in calculations, an increase in prediction accuracy by 11% is achieved, resulting in the prediction of the time distribution of Shannon's entropy for power consumption with an error not exceeding 23%.

Keywords

#distributed generation systems #Shannon entropy #Renyi entropy #fractal dimension

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