Wind power variations in frequency domain: Introducing a concept of fractional dynamics
DOI:
https://doi.org/10.33910/2687-153X-2026-7-3-137-143Keywords:
wind power, Fast Fourier transform (FFT), fractional relaxation and dynamics, Mittag-Leffler function (MLF), non-Euclidean space, Newtonian dynamicsAbstract
We apply a new concept of fractional dynamics in the equation of motion, specifically the harmonic oscillator in non-Euclidean space, to analyze wind speed (WS) in the frequency domain. Frequency spectra (FS) for WS are expressed well by the Mittag-Leffler function (MLF) originating from a concept of fractional dynamics in complex systems: FS behaves as 1/f a in high frequencies (a < 1). All these findings are compared with those for air temperature (AT), showing 1/f a for WS and 1/f 2a for AT. An interesting relationship between the 1/f a-law found for WS and 1/f 2a for AT will be discussed in terms of Newtonian dynamics in the fractional space.
References
Apt, J. (2007) The spectrum of power from wind turbines. Journal of Power Sources, 169 (2), 369–374. https://doi.org/10.1016/j.jpowsour.2007.02.077 (In English)
Belo, A. F., Shimakawa, K. (2021) Statistical and spectral analysis of wind power: Fractional oscillation dynamics. Physics of Complex Systems, 2 (4), 141–148. https://www.doi.org/10.33910/2687-153X-2021-2-4-141-148 (In English)
Belo, A. F., Shimakawa, K., Sakaguchi, Y. (2024) Transient photodarkening in amorphous and liquid chalcogenides : fractional dynamics in rheological point of view. Journal of Materials Science: Materials in Electronics, 35, article 618. https://doi.org/10.1007/s10854-024-12340-x (In English)
Climate change monitoring report 2015. Available at: https://dl.ndl.go.jp/view/prepareDownload?itemId=info%3Andljp%2Fpid%2F10223871&contentNo=1 (accessed 24.08.2026)
Cole, K. S., Cole, R. H. (1941) Dispersion and Absorption in dielectrics I. Alternating current characteristics. The Journal of Chemical Physics, 9 (4), 341–351. http://dx.doi.org/10.1063/1.1750906 (In English)
Hasche, B. (2010) General statistics of geographically dispersed wind power. Wind Energy, 13 (8), 773–784. https://doi.org/10.1002/we.397 (In English)
Joselin Herbert, G. M., Iniyan, S., Sreevalsan, E., Rajapandian, S. (2007) A review of wind energy technologies. Renewable and Sustainable Energy Reviews, 11 (6), 1117–1145. https://doi.org/10.1016/j.rser.2005.08.004 (In English)
Kogan, Sh. (2008) Electronic noise and fluctuations in solids. Cambridge: Cambridge University Press, 367 p. (In English)
Liu, J., Ren, G., Wan, J. et al. (2016) Variogram time-series analysis of wind speed. Renewable Energy, 99, 483–491. https://doi.org/10.1016/j.renene.2016.07.013 (In English)
Metzler, R., Klafter, J. (2000) The random walk’s guide to anomalous diffusion: A fractional dynamics approach. Physics Report, 339(1), 1–77. https://doi.org/10.1016/S0370-1573(00)00070-3 (In English)
Murthy, K. S. R., Rahi, O. P. (2014) Estimation of Weibull parameters using graphical method for wind energy applications. In: 18th National power systems conference (NPSC–2014). Guwahati: IEEE Publ., pp. 1–6. https://www.doi.org/10.1109/NPSC.2014.7103858 (In English)
Papoulis, A. (1962) The fourier integral and its applications. New York: McGraw-Hill Publ., 318 p. (In English)
Rosa, E. C. F. A., de Oliveira, E. C. (2015). Relaxation equations: Fractional models. ArXiv. [Online]. Available at: https://doi.org/10.48550/arXiv.1510.01681 (accessed 10.05.2026). (In English)
Wan, Y., Bucaneg , D. Jr. (2002) Short-term power fluctuations of large wind power plants. Journal of Solar Energy Engineering, 124 (4), 427–431. https://doi.org/10.1115/1.1507762 (In English)
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Abelito Filipe Belo, Koichi Shimakawa

This work is licensed under a Creative Commons Attribution 4.0 International License.
The work is provided under the terms of the Public Offer and of Creative Commons public license Creative Commons Attribution 4.0 International (CC BY 4.0).
This license permits an unlimited number of users to copy and redistribute the material in any medium or format, and to remix, transform, and build upon the material for any purpose, including commercial use.
This license retains copyright for the authors but allows others to freely distribute, use, and adapt the work, on the mandatory condition that appropriate credit is given. Users must provide a correct link to the original publication in our journal, cite the authors' names, and indicate if any changes were made.
Copyright remains with the authors. The CC BY 4.0 license does not transfer rights to third parties but rather grants users prior permission for use, provided the attribution condition is met. Any use of the work will be governed by the terms of this license.





