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  - Mihailović, Dragutin T.
AU  - Bessafi, Miloud
AU  - Marković, Sara
AU  - Arsenić, Ilija
AU  - Malinović-Milićević, Slavica
AU  - Jeanty, Patrick
AU  - Delsaut, Mathieu
AU  - Chabriat, Jean-Pierre
AU  - Drešković, Nusret
AU  - Mihailović, Anja
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/13301
AB  - Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural variability of solar irradiation is being complicated by atmospheric conditions (in particular cloudiness) and orography, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the years 2013, 2014 and 2015 at
11 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use a set of novel quantitative tools: Kolmogorov complexity (KC) with its derivative associated measures and Hamming distance (HAM) and their combination to assess complexity and corresponding predictability. We find that all half-day (from sunrise to sunset) solar irradiation series exhibit high complexity. However, all of them can be classified into three groups strongly influenced by trade winds that circulate in a “flow around” regime: the windward side (trade winds slow down), the leeward side (diurnal thermally-induced circulations dominate) and the coast parallel to trade winds (winds are accelerated due to Venturi effect). We introduce Kolmogorov time (KT) that quantifies the time span beyond which randomness significantly influences predictability.
PB  - Switzerland, Basel : MDPI
T2  - Entropy
T1  - Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)
VL  - 20
IS  - 570
DO  - 10.3390/e20080570
UR  - https://hdl.handle.net/21.15107/rcub_dais_13301
ER  - 

@article{
author = "Mihailović, Dragutin T. and Bessafi, Miloud and Marković, Sara and Arsenić, Ilija and Malinović-Milićević, Slavica and Jeanty, Patrick and Delsaut, Mathieu and Chabriat, Jean-Pierre and Drešković, Nusret and Mihailović, Anja",
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 variability of solar irradiation is being complicated by atmospheric conditions (in particular cloudiness) and orography, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the years 2013, 2014 and 2015 at
11 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use a set of novel quantitative tools: Kolmogorov complexity (KC) with its derivative associated measures and Hamming distance (HAM) and their combination to assess complexity and corresponding predictability. We find that all half-day (from sunrise to sunset) solar irradiation series exhibit high complexity. However, all of them can be classified into three groups strongly influenced by trade winds that circulate in a “flow around” regime: the windward side (trade winds slow down), the leeward side (diurnal thermally-induced circulations dominate) and the coast parallel to trade winds (winds are accelerated due to Venturi effect). We introduce Kolmogorov time (KT) that quantifies the time span beyond which randomness significantly influences predictability.",
publisher = "Switzerland, Basel : MDPI",
journal = "Entropy",
title = "Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)",
volume = "20",
number = "570",
doi = "10.3390/e20080570",
url = "https://hdl.handle.net/21.15107/rcub_dais_13301"
}

Mihailović, D. T., Bessafi, M., Marković, S., Arsenić, I., Malinović-Milićević, S., Jeanty, P., Delsaut, M., Chabriat, J., Drešković, N.,& Mihailović, A.. (2018). Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France). in Entropy
Switzerland, Basel : MDPI., 20(570).
https://doi.org/10.3390/e20080570
https://hdl.handle.net/21.15107/rcub_dais_13301

Mihailović DT, Bessafi M, Marković S, Arsenić I, Malinović-Milićević S, Jeanty P, Delsaut M, Chabriat J, Drešković N, Mihailović A. Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France). in Entropy. 2018;20(570).
doi:10.3390/e20080570
https://hdl.handle.net/21.15107/rcub_dais_13301 .

Mihailović, Dragutin T., Bessafi, Miloud, Marković, Sara, Arsenić, Ilija, Malinović-Milićević, Slavica, Jeanty, Patrick, Delsaut, Mathieu, Chabriat, Jean-Pierre, Drešković, Nusret, Mihailović, Anja, "Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)" in Entropy, 20, no. 570 (2018),
https://doi.org/10.3390/e20080570 .,
https://hdl.handle.net/21.15107/rcub_dais_13301 .