TY  - JOUR
AU  - Mihailović, Dragutin T.
AU  - Nikolić-Đorić, Emilija
AU  - Malinović-Milićević, Slavica
AU  - Singh, Vijay P.
AU  - Mihailović, Anja
AU  - Stošić, Tatjana
AU  - Stošić, Borko
AU  - Drešković, Nusret
PY  - 2019
UR  - https://dais.sanu.ac.rs/123456789/12914
AB  - The purpose of this paper was to choose an appropriate information dissimilarity measure for hierarchical clustering of daily streamflow discharge data, from twelve gauging stations on the Brazos River in Texas (USA), for the period 1989–2016. For that purpose, we selected and compared the average-linkage clustering hierarchical algorithm based on the compression-based dissimilarity
measure (NCD), permutation distribution dissimilarity measure (PDDM), and Kolmogorov distance (KD). The algorithm was also compared with K-means clustering based on Kolmogorov complexity (KC), the highest value of Kolmogorov complexity spectrum (KCM), and the largest Lyapunov exponent (LLE). Using a dissimilarity matrix based on NCD, PDDM, and KD for daily streamflow,
the agglomerative average-linkage hierarchical algorithm was applied. The key findings of this study are that: (i) The KD clustering algorithm is the most suitable among others; (ii) ANOVA analysis shows that there exist highly significant differences between mean values of four clusters, confirming that the choice of the number of clusters was suitably done; and (iii) from the clustering we found that the predictability of streamflow data of the Brazos River given by the Lyapunov time (LT), corrected for randomness by Kolmogorov time (KT) in days, lies in the interval from two to five days.
PB  - Switzerland, Basel : MDPI
T2  - Entropy
T1  - The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures
SP  - 215
VL  - 21
IS  - 2
DO  - 10.3390/e21020215
UR  - https://hdl.handle.net/21.15107/rcub_dais_12914
ER  - 

@article{
author = "Mihailović, Dragutin T. and Nikolić-Đorić, Emilija and Malinović-Milićević, Slavica and Singh, Vijay P. and Mihailović, Anja and Stošić, Tatjana and Stošić, Borko and Drešković, Nusret",
year = "2019",
abstract = "The purpose of this paper was to choose an appropriate information dissimilarity measure for hierarchical clustering of daily streamflow discharge data, from twelve gauging stations on the Brazos River in Texas (USA), for the period 1989–2016. For that purpose, we selected and compared the average-linkage clustering hierarchical algorithm based on the compression-based dissimilarity
measure (NCD), permutation distribution dissimilarity measure (PDDM), and Kolmogorov distance (KD). The algorithm was also compared with K-means clustering based on Kolmogorov complexity (KC), the highest value of Kolmogorov complexity spectrum (KCM), and the largest Lyapunov exponent (LLE). Using a dissimilarity matrix based on NCD, PDDM, and KD for daily streamflow,
the agglomerative average-linkage hierarchical algorithm was applied. The key findings of this study are that: (i) The KD clustering algorithm is the most suitable among others; (ii) ANOVA analysis shows that there exist highly significant differences between mean values of four clusters, confirming that the choice of the number of clusters was suitably done; and (iii) from the clustering we found that the predictability of streamflow data of the Brazos River given by the Lyapunov time (LT), corrected for randomness by Kolmogorov time (KT) in days, lies in the interval from two to five days.",
publisher = "Switzerland, Basel : MDPI",
journal = "Entropy",
title = "The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures",
pages = "215",
volume = "21",
number = "2",
doi = "10.3390/e21020215",
url = "https://hdl.handle.net/21.15107/rcub_dais_12914"
}

Mihailović, D. T., Nikolić-Đorić, E., Malinović-Milićević, S., Singh, V. P., Mihailović, A., Stošić, T., Stošić, B.,& Drešković, N.. (2019). The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures. in Entropy
Switzerland, Basel : MDPI., 21(2), 215.
https://doi.org/10.3390/e21020215
https://hdl.handle.net/21.15107/rcub_dais_12914

Mihailović DT, Nikolić-Đorić E, Malinović-Milićević S, Singh VP, Mihailović A, Stošić T, Stošić B, Drešković N. The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures. in Entropy. 2019;21(2):215.
doi:10.3390/e21020215
https://hdl.handle.net/21.15107/rcub_dais_12914 .

Mihailović, Dragutin T., Nikolić-Đorić, Emilija, Malinović-Milićević, Slavica, Singh, Vijay P., Mihailović, Anja, Stošić, Tatjana, Stošić, Borko, Drešković, Nusret, "The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures" in Entropy, 21, no. 2 (2019):215,
https://doi.org/10.3390/e21020215 .,
https://hdl.handle.net/21.15107/rcub_dais_12914 .

TY  - JOUR
AU  - Bessafi, Miloud
AU  - Mihailović, Dragutin T.
AU  - Malinović-Milićević, Slavica
AU  - Mihailović, Anja
AU  - Jumaux, Guillaume
AU  - Bonnardot, François
AU  - Fanchette, Yannick
AU  - Chabriat, Jean-Pierre
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/13302
AB  - Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural intermittency of solar irradiation is mainly triggered by atmospheric turbulent conditions, radiative transfer, optical properties of cloud and aerosol, moisture and atmospheric stability, orographic and thermal forcing, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the period 2011–2015, at 32 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use the tools of non-linear dynamics: the intermittency and chaos analysis, the largest Lyapunov exponent, Sample entropy, the Kolmogorov complexity and its derivatives (Kolmogorov complexity spectrum and its highest value), and spatial weighted Kolmogorov complexity combined with Hamming distance to assess complexity and corresponding predictability. Finally, we have clustered the Kolmogorov time (that
quantifies the time span beyond which randomness significantly influences predictability) for daily cumulative solar irradiation for all stations. We show that under the record-breaking 2011–2012 La Nina event and preceding a very strong El-Nino 2015–2016 event, the predictability of daily incident solar energy over La Réunion is affected.
PB  - Switzerland, Basel : MDPI
T2  - Entropy
T1  - Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France)
VL  - 20
IS  - 946
DO  - 10.3390/e20120946
UR  - https://hdl.handle.net/21.15107/rcub_dais_13302
ER  - 

@article{
author = "Bessafi, Miloud and Mihailović, Dragutin T. and Malinović-Milićević, Slavica and Mihailović, Anja and Jumaux, Guillaume and Bonnardot, François and Fanchette, Yannick and Chabriat, Jean-Pierre",
year = "2018",
abstract = "Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural intermittency of solar irradiation is mainly triggered by atmospheric turbulent conditions, radiative transfer, optical properties of cloud and aerosol, moisture and atmospheric stability, orographic and thermal forcing, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the period 2011–2015, at 32 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use the tools of non-linear dynamics: the intermittency and chaos analysis, the largest Lyapunov exponent, Sample entropy, the Kolmogorov complexity and its derivatives (Kolmogorov complexity spectrum and its highest value), and spatial weighted Kolmogorov complexity combined with Hamming distance to assess complexity and corresponding predictability. Finally, we have clustered the Kolmogorov time (that
quantifies the time span beyond which randomness significantly influences predictability) for daily cumulative solar irradiation for all stations. We show that under the record-breaking 2011–2012 La Nina event and preceding a very strong El-Nino 2015–2016 event, the predictability of daily incident solar energy over La Réunion is affected.",
publisher = "Switzerland, Basel : MDPI",
journal = "Entropy",
title = "Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France)",
volume = "20",
number = "946",
doi = "10.3390/e20120946",
url = "https://hdl.handle.net/21.15107/rcub_dais_13302"
}

Bessafi, M., Mihailović, D. T., Malinović-Milićević, S., Mihailović, A., Jumaux, G., Bonnardot, F., Fanchette, Y.,& Chabriat, J.. (2018). Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France). in Entropy
Switzerland, Basel : MDPI., 20(946).
https://doi.org/10.3390/e20120946
https://hdl.handle.net/21.15107/rcub_dais_13302

Bessafi M, Mihailović DT, Malinović-Milićević S, Mihailović A, Jumaux G, Bonnardot F, Fanchette Y, Chabriat J. Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France). in Entropy. 2018;20(946).
doi:10.3390/e20120946
https://hdl.handle.net/21.15107/rcub_dais_13302 .

Bessafi, Miloud, Mihailović, Dragutin T., Malinović-Milićević, Slavica, Mihailović, Anja, Jumaux, Guillaume, Bonnardot, François, Fanchette, Yannick, Chabriat, Jean-Pierre, "Spatial and Temporal Non-Linear Dynamics Analysis and Predictability of Solar Radiation Time Series for La Reunion Island (France)" in Entropy, 20, no. 946 (2018),
https://doi.org/10.3390/e20120946 .,
https://hdl.handle.net/21.15107/rcub_dais_13302 .

TY  - JOUR
AU  - Malinović-Milićević, Slavica
AU  - Radovanovic, Milan M.
AU  - Stanojevic, Gorica
AU  - Milovanovic, Bosko
PY  - 2016
UR  - https://dais.sanu.ac.rs/123456789/13853
AB  - This paper focuses on the development and application of a technique for filling the daily erythemal UV dose  data gaps and the reconstruction of the past daily erythemal  UV doses in Novi Sad, Serbia. The technique implies developing the empirical equation for estimation of daily erythemal  UV doses by means of relative daily sunshine duration under all sky conditions. A good agreement was found between modeled and measured values of erythemal UV doses. This
technique was used for filling the short gaps in the erythemal  UV dose measurement series (2003–2009) as well as for the reconstruction of the past time-series values (1981–2002). Statistically significant positive erythemal UV dose trend of 6.9 J m−2 per year was found during the period 1981–2009. In relation to the reference period 1981–1989, an increase in the erythemal UV dose of 6.92 % is visible in the period 1990– 1999 and the increase of 9.67 % can be seen in the period  2000–2009. The strongest increase in erythemal UV doses has  been found for winter and spring seasons.
PB  - Berlin : Springer
T2  - Theoretical and Applied Climatology
T1  - Recent changes in Serbian Climate Extreme Indices from 1961 to 2010
SP  - 131
EP  - 138
VL  - 121
DO  - 10.1007/s00704-015-1491-1
UR  - https://hdl.handle.net/21.15107/rcub_dais_13853
ER  - 

@article{
author = "Malinović-Milićević, Slavica and Radovanovic, Milan M. and Stanojevic, Gorica and Milovanovic, Bosko",
year = "2016",
abstract = "This paper focuses on the development and application of a technique for filling the daily erythemal UV dose  data gaps and the reconstruction of the past daily erythemal  UV doses in Novi Sad, Serbia. The technique implies developing the empirical equation for estimation of daily erythemal  UV doses by means of relative daily sunshine duration under all sky conditions. A good agreement was found between modeled and measured values of erythemal UV doses. This
technique was used for filling the short gaps in the erythemal  UV dose measurement series (2003–2009) as well as for the reconstruction of the past time-series values (1981–2002). Statistically significant positive erythemal UV dose trend of 6.9 J m−2 per year was found during the period 1981–2009. In relation to the reference period 1981–1989, an increase in the erythemal UV dose of 6.92 % is visible in the period 1990– 1999 and the increase of 9.67 % can be seen in the period  2000–2009. The strongest increase in erythemal UV doses has  been found for winter and spring seasons.",
publisher = "Berlin : Springer",
journal = "Theoretical and Applied Climatology",
title = "Recent changes in Serbian Climate Extreme Indices from 1961 to 2010",
pages = "131-138",
volume = "121",
doi = "10.1007/s00704-015-1491-1",
url = "https://hdl.handle.net/21.15107/rcub_dais_13853"
}

Malinović-Milićević, S., Radovanovic, M. M., Stanojevic, G.,& Milovanovic, B.. (2016). Recent changes in Serbian Climate Extreme Indices from 1961 to 2010. in Theoretical and Applied Climatology
Berlin : Springer., 121, 131-138.
https://doi.org/10.1007/s00704-015-1491-1
https://hdl.handle.net/21.15107/rcub_dais_13853

Malinović-Milićević S, Radovanovic MM, Stanojevic G, Milovanovic B. Recent changes in Serbian Climate Extreme Indices from 1961 to 2010. in Theoretical and Applied Climatology. 2016;121:131-138.
doi:10.1007/s00704-015-1491-1
https://hdl.handle.net/21.15107/rcub_dais_13853 .

Malinović-Milićević, Slavica, Radovanovic, Milan M., Stanojevic, Gorica, Milovanovic, Bosko, "Recent changes in Serbian Climate Extreme Indices from 1961 to 2010" in Theoretical and Applied Climatology, 121 (2016):131-138,
https://doi.org/10.1007/s00704-015-1491-1 .,
https://hdl.handle.net/21.15107/rcub_dais_13853 .