[1]
|
M. F. Barnsley, R. L. Devaney, B. B. Mandelbrot, H. O. Peitege, D. Saupe and R. F. Voss, The Science of Fractal Images, Springer-Verlag, New York, 1988.
doi: 10.1007/978-1-4612-3784-6.
|
[2]
|
J. Borjon, Caos, Orden y Desorden en el Sistema Monetario y Financiero Internacional, Plaza y Valdes, 1$^{st}$ edition, New York, 2002.
|
[3]
|
T. A. Garcia, G. A. Tamura Ozaki, R. C. Castoldi, T. E. Koike, R. C. Trindade Camargo and J. C. S. Camargo Filho, Fractal dimension in the evaluation of different treatments of muscular injury in rats, Tissue Cell, 54 (2018), 120-126.
doi: 10.1016/j.tice.2018.08.014.
|
[4]
|
H. R. Cui and L. Yang., Short-term electricity price forecast based on improved fractal theory, IEEE Int. Conf. Comput. Eng. Technol., 473 (2009), 347-351.
doi: 10.1109/ICCET.2009.73.
|
[5]
|
J. Hernandez, S. Mejia and A. Gama, Fractal properties of biophysical models of pericellular brushes can be used to differentiate between cancerous and normal cervical epithelial cells, Colloids Surfaces B Biointerfaces, 170 (2018), 572-577.
|
[6]
|
A. Katok and B. Hasselblatt, Introduction to the Modern Theory of Dynamical Systems, Encyclopedia of Mathematics and its Applications, 54. Cambridge University Press, Cambridge, 1995.
doi: 10.1017/CBO9780511809187.
|
[7]
|
R. Kumar and P. Chaubey, On the design of tree-type ultra wideband fractal Antenna for DS-CDMA system, J. Microwaves Optoelectron Electromagn Appl., 11 (2012), 107-121.
|
[8]
|
G. Losa, Fractals and their contribution to biology and medicine, Medicographia, 34 (2012), 365-374.
|
[9]
|
J. Ma and M. Zhai, Fractal and multi-fractal features of the broadband power line communication signals, Comput. Electr. Eng., 72 (2018), 566-576.
|
[10]
|
B. B. Mandelbrot and R. L. Hudson, The (mis) Behaviour of Markets: A Fractal View of Risk, Ruin and Reward, Basic Books, New York, 2004.
|
[11]
|
P. Moon, J. Muday, S. Raynor, J. Schirillo, C. Boydston, M. Fairbanks and R. P. Taylor, Fractal images induce fractal pupil dilations and constrictions, Int. J Psychophysiol, 93 (2014), 316-321.
doi: 10.1016/j.ijpsycho.2014.06.013.
|
[12]
|
N. Popovic, M. Radunovic, J. Badnjar and T. Popovic, Fractal dimension and lacunarity analysis of retinal microvascular morphology in hypertension and diabetes, Microvascular Research, 118 (2018), 36-43.
doi: 10.1016/j.mvr.2018.02.006.
|
[13]
|
V. Rodríguez, B. Prieto, H. Correa, M. Soracipa, P. Mendez, C. Bernal and et al., Nueva metodología de evaluación del Holter basada en los sistemas dinámicos y la geometría fractal: Confirmación de su aplicabilidad a nivel clínico, Rev. La Univ. Ind. Santander Salud., 48 (2016), 27-36.
|
[14]
|
G. Salvó and M. N. Piacquadio, Multifractal analysis of electricity demand as a tool for spatial forecasting, Energy Sustain. Dev., 38 (2017), 67-76.
doi: 10.1016/j.esd.2017.02.005.
|
[15]
|
S. H. Strogatz, Nonlinear Dynamics and Chaos. With Applications to Physics, Biology, Chemistry, and Engineering, Second edition, Westview Press, Boulder, CO, 2015.
|
[16]
|
H. A. Tabares-Ospina and J. E. Candelo-Becerra, Topological properties of fractal Julia sets related to the signs of real and reactive electric powers, Fractals, 10 (2019), 1950066, 11 pp.
doi: 10.1142/S0218348X1950066X.
|
[17]
|
H. A. Tabares-Ospina, J. E. Candelo-Becerra and F. E. Hoyos Velasco, Fractal representation of the power demand based on topological properties of Julia sets, Int. J. Electr. Comput. Eng., 9 (2019), http://dx.doi.org/10.11591/ijece.v9i4.pp.
doi: 10.11591/ijece.v9i4.pp2831-2839.
|
[18]
|
D. D. Ye, M. F. Dai, Y. Sun and W. Y. Su, Average weighted receiving time on the non-homogeneous double-weighted fractal networks, Phys. A, 473 (2017), 390-402.
doi: 10.1016/j.physa.2017.01.013.
|
[19]
|
M. Y. Zhai, A new method for short-term load forecasting based on fractal interpretation and wavelet analysis, Int. J. Electr. Power Energy Syst., 69 (2015), 241-245.
doi: 10.1016/j.ijepes.2014.12.087.
|
[20]
|
Z. Zhao, J. Zhu and B. Xia, Multi-fractal fluctuation features of thermal power coal price in China, Energy, 117 (2016), 10-18.
|
[21]
|
H.A. Tabares-Ospina, F. Angulo, M. Osorio, A new methodology to analyze the dynamic of daily power demand with attractors into the Mandelbrot set, Fractals, 28 (2020) 2050003 1-9. DOI: 10.1142/S0218348X1950066X.
|